id	sid	tid	token	lemma	pos
work_tkpzrp2tejhdlphbue3jgfbe5y	1	1	CME	CME	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	2	Topic	Topic	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	3	Surveillance	Surveillance	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	4	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	1	5	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	1	6	Colorectal	Colorectal	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	7	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	8	Disparities	Disparities	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	1	9	Among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	1	10	Demographic	demographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	1	11	Subgroups	Subgroups	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	1	12	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	1	13	A	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	1	14	Spatial	Spatial	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	15	Analysis	Analysis	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	16	Chiehwen	Chiehwen	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	17	Ed	Ed	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	18	Hsu	Hsu	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	19	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	1	20	PhD	phd	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	1	21	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	1	22	MPH	MPH	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	23	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	1	24	Francisco	Francisco	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	25	Soto	Soto	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	26	Mas	Mas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	27	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	1	28	MD	MD	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	29	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	1	30	PhD	phd	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	1	31	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	1	32	MPH	MPH	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	33	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	1	34	Jessica	Jessica	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	35	M.	M.	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	36	Hickey	Hickey	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	37	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	1	38	MPH	MPH	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	39	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	1	40	Jerry	Jerry	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	41	A.	A.	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	42	Miller	Miller	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	43	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	1	44	PhD	phd	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	1	45	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	1	46	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	1	47	Dejian	Dejian	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	48	Lai	Lai	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	49	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	1	50	PhD	phd	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	1	51	Objective	objective	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	1	52	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	1	53	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	1	54	literature	literature	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	1	55	suggests	suggest	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	1	56	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	1	57	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	1	58	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	1	59	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	1	60	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	1	61	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	1	62	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	1	63	distributed	distribute	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	1	64	inhomogeneously	inhomogeneously	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	1	65	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	1	66	specific	specific	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	1	67	demographic	demographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	1	68	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	1	69	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	1	70	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	1	71	certain	certain	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	1	72	geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	1	73	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	1	74	over	over	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	1	75	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	1	76	extended	extended	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	1	77	pe-	pe-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	1	78	riod	riod	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	1	79	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	2	1	To	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	2	2	understand	understand	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	2	3	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	2	4	extent	extent	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	2	5	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	2	6	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	2	7	demographic	demographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	2	8	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	2	9	geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	2	10	disparities	disparity	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	2	11	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	2	12	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	2	13	present	present	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	2	14	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	2	15	examined	examine	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	2	16	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	2	17	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	2	18	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	2	19	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	2	20	15	15	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	2	21	demographic	demographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	2	22	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	2	23	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	2	24	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	2	25	counties	county	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	2	26	between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	2	27	1990	1990	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	2	28	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	2	29	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	2	30	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	3	1	Methods	method	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	3	2	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	3	3	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	3	4	Spatial	Spatial	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	3	5	Scan	Scan	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	3	6	Statistic	Statistic	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	3	7	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	3	8	used	use	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	3	9	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	3	10	assess	assess	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	3	11	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	3	12	stan-	stan-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	3	13	dardized	dardize	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	3	14	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	3	15	ratio	ratio	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	3	16	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	3	17	duration	duration	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	3	18	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	3	19	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	3	20	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	3	21	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	3	22	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	3	23	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	3	24	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	3	25	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	3	26	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	3	27	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	3	28	their	-PRON-	PRP$
work_tkpzrp2tejhdlphbue3jgfbe5y	3	29	respective	respective	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	3	30	p	p	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	3	31	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	3	32	values	value	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	3	33	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	3	34	testing	test	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	3	35	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	3	36	null	null	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	3	37	hypoth-	hypoth-	PRP$
work_tkpzrp2tejhdlphbue3jgfbe5y	3	38	esis	esis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	3	39	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	3	40	homogeneity	homogeneity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	3	41	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	3	42	geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	3	43	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	3	44	temporal	temporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	3	45	distribution	distribution	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	3	46	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	4	1	Results	result	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	4	2	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	4	3	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	4	4	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	4	5	confirmed	confirm	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	4	6	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	4	7	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	4	8	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	4	9	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	4	10	some	some	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	4	11	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	4	12	counties	county	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	4	13	found	find	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	4	14	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	4	15	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	4	16	literature	literature	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	4	17	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	4	18	identified	identify	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	4	19	13	13	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	4	20	additional	additional	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	4	21	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	4	22	mor-	mor-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	4	23	tality	tality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	4	24	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	4	25	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	4	26	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	4	27	found	find	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	4	28	4	4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	4	29	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	4	30	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	4	31	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	4	32	persistent	persistent	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	4	33	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	4	34	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	4	35	involving	involve	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	4	36	several	several	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	4	37	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	4	38	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	4	39	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	5	1	Conclusion	conclusion	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	5	2	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	5	3	Health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	5	4	disparities	disparity	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	5	5	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	5	6	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	5	7	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	5	8	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	5	9	con-	con-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	5	10	tinue	tinue	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	5	11	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	5	12	exist	exist	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	5	13	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	5	14	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	5	15	demographic	demographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	5	16	subpopulations	subpopulation	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	5	17	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	6	1	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	6	2	educa-	educa-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	6	3	tion	tion	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	6	4	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	6	5	intervention	intervention	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	6	6	programs	program	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	6	7	should	should	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	6	8	be	be	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	6	9	directed	direct	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	6	10	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	6	11	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	6	12	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	6	13	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	6	14	risk	risk	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	6	15	subpopulations	subpopulation	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	6	16	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	6	17	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	6	18	identified	identified	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	6	19	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	6	20	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	7	1	Key	key	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	7	2	Words	word	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	7	3	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	7	4	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	7	5	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	7	6	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	7	7	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	7	8	disparities	disparity	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	7	9	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	7	10	public	public	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	7	11	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	7	12	in-	in-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	7	13	formatics	formatic	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	7	14	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	7	15	Geographic	Geographic	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	7	16	Information	Information	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	7	17	Systems	Systems	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	7	18	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	7	19	spatial	spatial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	7	20	analysis	analysis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	7	21	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	8	1	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	2	2005	2005	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	8	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	8	4	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	8	5	estimated	estimated	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	6	56,290	56,290	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	8	7	deaths	death	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	8	8	from	from	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	9	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	10	cancerwere	cancerwere	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	8	11	expected	expect	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	12	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	13	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	8	14	United	United	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	8	15	States	States	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	8	16	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	8	17	sustaining	sustain	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	8	18	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	19	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	20	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	21	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	8	22	third	third	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	23	leading	lead	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	8	24	cause	cause	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	25	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	26	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	27	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	8	28	related	relate	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	29	deaths	death	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	8	30	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	31	Americans.1	Americans.1	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	8	32	Recent	recent	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	33	studies	study	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	8	34	suggest	suggest	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	8	35	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	36	screening	screening	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	37	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	38	effective	effective	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	39	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	40	decreasing	decrease	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	8	41	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	42	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	43	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	44	both	both	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	8	45	incidence	incidence	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	46	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	8	47	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	48	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	49	early	early	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	50	detection	detection	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	51	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	8	52	removal	removal	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	53	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	54	precancerous	precancerous	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	55	lesions	lesion	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	8	56	or	or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	8	57	polyps	polyp	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	8	58	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	8	59	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	8	60	enhancing	enhance	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	8	61	survival	survival	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	62	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	8	63	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	64	colo-	colo-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	8	65	rectal	rectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	66	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	67	patients.2	patients.2	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	8	68	Colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	69	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	70	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	71	one	one	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	8	72	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	73	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	8	74	most	most	RBS
work_tkpzrp2tejhdlphbue3jgfbe5y	8	75	preventable	preventable	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	76	types	type	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	8	77	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	78	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	79	when	when	WRB
work_tkpzrp2tejhdlphbue3jgfbe5y	8	80	detected	detect	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	81	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	82	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	8	83	early	early	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	84	stage.3	stage.3	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	85	However	however	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	8	86	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	8	87	while	while	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	88	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	8	89	5-year	5-year	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	8	90	survival	survival	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	91	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	92	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	93	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	94	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	95	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	96	around	around	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	8	97	90	90	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	8	98	%	%	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	99	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	100	those	those	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	8	101	cases	case	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	8	102	detected	detect	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	103	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	104	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	8	105	early	early	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	106	stage	stage	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	107	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	8	108	only	only	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	8	109	about	about	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	8	110	37	37	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	8	111	%	%	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	112	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	113	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	114	cancers	cancer	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	8	115	were	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	8	116	diagnosed	diagnose	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	117	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	118	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	8	119	early	early	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	120	stage	stage	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	121	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	122	2004.4	2004.4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	8	123	At	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	124	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	8	125	state	state	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	126	level	level	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	127	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	8	128	between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	129	1989	1989	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	8	130	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	8	131	1998	1998	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	8	132	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	8	133	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	8	134	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	135	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	8	136	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	137	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	138	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	139	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	140	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	141	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	142	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	143	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	8	144	ac-	ac-	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	8	145	tually	tually	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	8	146	increased	increase	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	8	147	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	148	more	more	JJR
work_tkpzrp2tejhdlphbue3jgfbe5y	8	149	than	than	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	150	20%.3	20%.3	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	8	151	To	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	8	152	target	target	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	8	153	prevention	prevention	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	154	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	8	155	intervention	intervention	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	156	efforts	effort	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	8	157	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	8	158	it	-PRON-	PRP
work_tkpzrp2tejhdlphbue3jgfbe5y	8	159	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	160	important	important	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	161	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	8	162	understand	understand	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	8	163	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	8	164	contrib-	contrib-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	165	uting	ute	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	8	166	risk	risk	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	167	factors	factor	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	8	168	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	169	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	170	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	171	affecting	affect	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	8	172	demographic	demographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	173	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	8	174	living	live	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	8	175	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	8	176	different	different	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	177	geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	8	178	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	8	179	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	9	1	From	from	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	9	2	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	9	3	Department	Department	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	4	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	9	5	Public	Public	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	6	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	9	7	Community	Community	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	8	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	9	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	10	University	University	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	11	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	9	12	Mary-	Mary-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	13	land	land	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	9	14	College	College	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	15	Park	Park	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	16	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	17	College	College	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	18	Park	Park	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	19	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	20	MD	MD	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	21	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	22	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	9	23	School	School	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	24	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	9	25	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	26	Information	Information	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	27	Sciences	Sciences	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	9	28	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	29	University	University	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	30	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	9	31	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	32	Houston	Houston	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	33	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	34	Science	Science	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	35	Center	Center	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	36	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	37	Houston	Houston	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	38	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	39	TX	TX	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	40	;	;	:
work_tkpzrp2tejhdlphbue3jgfbe5y	9	41	Department	Department	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	42	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	9	43	Teacher	Teacher	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	44	Education	Education	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	45	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	46	College	College	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	47	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	9	48	Education	Education	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	49	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	50	University	University	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	51	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	9	52	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	53	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	9	54	El	El	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	55	Paso	Paso	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	56	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	57	El	El	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	58	Paso	Paso	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	59	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	60	TX	TX	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	61	;	;	:
work_tkpzrp2tejhdlphbue3jgfbe5y	9	62	Centers	Centers	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	9	63	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	9	64	Medicare	Medicare	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	65	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	9	66	Medicaid	Medicaid	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	67	Services	Services	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	68	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	69	Dallas	Dallas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	70	Regional	Regional	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	71	Office	Office	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	72	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	73	Dallas	Dallas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	74	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	75	TX	TX	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	76	;	;	:
work_tkpzrp2tejhdlphbue3jgfbe5y	9	77	ORISE	ORISE	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	78	/	/	SYM
work_tkpzrp2tejhdlphbue3jgfbe5y	9	79	CDC	CDC	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	80	Public	Public	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	81	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	82	Fellow	Fellow	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	83	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	84	Centers	Centers	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	9	85	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	9	86	Disease	Disease	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	87	Control	Control	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	88	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	9	89	Prevention	Prevention	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	90	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	91	National	National	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	92	Center	Center	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	93	on	on	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	9	94	Birth	Birth	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	95	Defects	Defects	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	96	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	9	97	Developmental	Developmental	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	98	Disabilities	Disabilities	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	9	99	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	100	Atlanta	Atlanta	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	101	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	102	GA	GA	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	103	;	;	:
work_tkpzrp2tejhdlphbue3jgfbe5y	9	104	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	9	105	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	9	106	Di-	Di-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	107	vision	vision	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	9	108	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	9	109	Biostatistics	Biostatistics	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	110	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	111	School	School	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	112	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	9	113	Public	Public	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	114	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	115	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	116	University	University	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	117	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	9	118	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	119	Houston	Houston	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	120	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	121	Science	Science	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	122	Center	Center	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	123	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	124	Houston	Houston	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	125	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	9	126	TX	TX	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	9	127	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	10	1	Reprint	reprint	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	10	2	requests	request	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	10	3	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	10	4	Chiehwen	Chiehwen	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	10	5	Ed	Ed	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	10	6	Hsu	Hsu	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	10	7	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	10	8	PhD	phd	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	10	9	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	10	10	University	University	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	10	11	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	10	12	Maryland	Maryland	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	10	13	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	10	14	College	College	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	10	15	Park	Park	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	10	16	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	10	17	Department	Department	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	10	18	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	10	19	Public	Public	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	10	20	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	10	21	Community	Community	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	10	22	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	10	23	2371	2371	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	10	24	HHP	HHP	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	10	25	Building	Building	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	10	26	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	10	27	Valley	Valley	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	10	28	Drive	Drive	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	10	29	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	10	30	College	College	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	10	31	Park	Park	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	10	32	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	10	33	MD	MD	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	10	34	20742	20742	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	10	35	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	11	1	Email	email	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	11	2	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	11	3	edhsu@umd.edu	edhsu@umd.edu	XX
work_tkpzrp2tejhdlphbue3jgfbe5y	11	4	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	11	5	findings	finding	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	11	6	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	11	7	conclusions	conclusion	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	11	8	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	11	9	this	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	11	10	article	article	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	11	11	are	be	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	11	12	those	those	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	11	13	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	11	14	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	11	15	author(s	author(s	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	11	16	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	11	17	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	11	18	do	do	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	11	19	not	not	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	11	20	necessarily	necessarily	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	11	21	represent	represent	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	11	22	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	11	23	views	view	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	11	24	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	11	25	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	11	26	Centers	Centers	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	11	27	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	11	28	Disease	Disease	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	11	29	Control	Control	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	11	30	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	11	31	Prevention	Prevention	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	11	32	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	12	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	12	2	authors	author	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	12	3	have	have	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	12	4	no	no	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	12	5	disclosures	disclosure	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	12	6	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	12	7	declare	declare	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	12	8	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	13	1	Accepted	Accepted	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	13	2	April	April	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	13	3	3	3	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	13	4	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	13	5	2006	2006	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	13	6	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	14	1	Copyright	copyright	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	14	2	©	©	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	14	3	2006	2006	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	14	4	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	14	5	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	14	6	Southern	Southern	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	14	7	Medical	Medical	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	14	8	Association	Association	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	14	9	0038	0038	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	14	10	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	14	11	4348/0	4348/0	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	14	12	�	�	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	14	13	2000/9900	2000/9900	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	14	14	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	14	15	0949	0949	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	14	16	Key	Key	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	14	17	Points	Points	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	14	18	•	•	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	14	19	Colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	14	20	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	14	21	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	14	22	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	14	23	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	14	24	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	14	25	found	find	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	14	26	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	14	27	be	be	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	14	28	distributed	distribute	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	14	29	inhomogeneously	inhomogeneously	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	14	30	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	14	31	specific	specific	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	14	32	demo-	demo-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	14	33	graphic	graphic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	14	34	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	14	35	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	14	36	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	14	37	certain	certain	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	14	38	geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	14	39	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	14	40	over	over	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	14	41	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	14	42	extended	extended	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	14	43	period	period	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	14	44	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	15	1	•	•	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	15	2	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	15	3	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	15	4	confirmed	confirm	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	15	5	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	15	6	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	15	7	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	15	8	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	15	9	some	some	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	15	10	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	15	11	counties	county	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	15	12	reported	report	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	15	13	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	15	14	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	15	15	literature	literature	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	15	16	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	15	17	identified	identify	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	15	18	13	13	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	15	19	additional	additional	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	15	20	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	15	21	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	15	22	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	15	23	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	15	24	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	15	25	found	find	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	15	26	4	4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	15	27	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	15	28	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	15	29	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	15	30	persistent	persistent	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	15	31	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	15	32	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	15	33	involving	involve	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	15	34	sev-	sev-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	15	35	eral	eral	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	15	36	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	15	37	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	15	38	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	16	1	•	•	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	16	2	Health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	16	3	disparities	disparity	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	16	4	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	16	5	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	16	6	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	16	7	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	16	8	con-	con-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	16	9	tinue	tinue	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	16	10	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	16	11	exist	exist	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	16	12	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	16	13	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	16	14	demographic	demographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	16	15	subpopulations	subpopulation	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	16	16	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	17	1	Health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	17	2	education	education	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	17	3	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	17	4	intervention	intervention	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	17	5	programs	program	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	17	6	should	should	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	17	7	be	be	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	17	8	enhanced	enhance	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	17	9	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	17	10	address	address	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	17	11	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	17	12	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	17	13	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	17	14	risk	risk	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	17	15	subpopulations	subpopulation	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	17	16	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	17	17	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	17	18	identified	identified	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	17	19	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	17	20	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	18	1	Southern	Southern	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	18	2	Medical	Medical	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	18	3	Journal	Journal	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	18	4	•	•	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	18	5	Volume	volume	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	6	99	99	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	18	7	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	18	8	Number	number	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	9	9	9	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	18	10	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	18	11	September	September	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	18	12	2006	2006	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	18	13	949	949	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	18	14	State	state	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	15	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	18	16	level	level	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	17	studies	study	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	18	18	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	19	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	18	20	have	have	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	18	21	found	find	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	22	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	23	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	18	24	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	25	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	26	disproportionately	disproportionately	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	18	27	burdened	burden	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	18	28	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	29	sub-	sub-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	18	30	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	18	31	defined	define	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	32	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	33	certain	certain	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	18	34	demographic	demographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	18	35	characteristics	characteristic	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	18	36	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	18	37	such	such	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	18	38	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	39	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	40	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	18	41	gender	gender	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	42	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	18	43	race	race	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	44	/	/	SYM
work_tkpzrp2tejhdlphbue3jgfbe5y	18	45	ethnicity	ethnicity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	46	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	18	47	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	18	48	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	49	residential	residential	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	18	50	distribution	distribution	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	18	51	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	19	1	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	2	terms	term	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	19	3	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	4	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	5	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	19	6	more	more	JJR
work_tkpzrp2tejhdlphbue3jgfbe5y	19	7	than	than	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	8	90	90	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	19	9	%	%	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	10	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	11	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	19	12	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	13	cases	case	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	19	14	are	be	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	19	15	diagnosed	diagnose	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	16	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	17	people	people	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	19	18	aged	age	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	19	50	50	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	19	20	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	19	21	older.3	older.3	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	19	22	Regarding	regard	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	19	23	gender	gender	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	24	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	19	25	epidemiologic	epidemiologic	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	19	26	data	datum	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	19	27	indicate	indicate	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	19	28	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	29	there	there	EX
work_tkpzrp2tejhdlphbue3jgfbe5y	19	30	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	19	31	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	19	32	pronounced	pronounced	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	19	33	vari-	vari-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	19	34	ation	ation	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	35	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	36	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	19	37	risk	risk	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	38	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	39	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	19	40	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	41	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	42	gender	gender	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	43	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	19	44	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	45	men	man	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	19	46	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	47	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	19	48	greater	great	JJR
work_tkpzrp2tejhdlphbue3jgfbe5y	19	49	risk	risk	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	50	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	51	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	19	52	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	53	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	54	than	than	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	19	55	women	woman	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	19	56	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	20	1	Between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	2	1984	1984	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	20	3	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	20	4	1996	1996	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	20	5	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	20	6	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	20	7	averaged	average	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	8	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	20	9	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	10	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	20	11	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	12	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	13	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	14	from	from	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	15	colon	colon	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	16	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	17	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	18	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	20	19	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	20	20	17.64	17.64	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	20	21	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	20	22	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	20	23	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	24	females	female	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	20	25	12.18	12.18	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	20	26	per	per	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	27	100,000	100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	20	28	people.5	people.5	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	20	29	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	20	30	disparities	disparity	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	20	31	on	on	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	32	colo-	colo-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	20	33	rectal	rectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	20	34	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	35	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	36	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	37	gender	gender	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	38	have	have	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	20	39	widened	widen	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	40	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	20	41	recent	recent	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	20	42	years	year	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	20	43	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	21	1	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	2	2003	2003	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	21	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	21	4	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	21	5	American	American	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	21	6	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	21	7	Society	Society	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	21	8	reported	report	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	21	9	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	10	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	21	11	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	12	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	21	13	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	14	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	21	15	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	16	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	17	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	18	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	19	Texans	Texans	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	21	20	rose	rise	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	21	21	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	22	26.1	26.1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	21	23	per	per	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	24	100,000	100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	21	25	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	26	men	man	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	21	27	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	21	28	17.4	17.4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	21	29	per	per	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	30	100,000	100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	21	31	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	32	wom-	wom-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	33	en.4	en.4	PDT
work_tkpzrp2tejhdlphbue3jgfbe5y	21	34	These	these	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	21	35	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	21	36	paralleled	parallel	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	21	37	national	national	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	21	38	statistics	statistic	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	21	39	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	40	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	41	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	21	42	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	43	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	21	44	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	45	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	46	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	21	47	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	48	men	man	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	21	49	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	21	50	25.8/100,000	25.8/100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	21	51	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	21	52	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	21	53	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	54	women	woman	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	21	55	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	21	56	18.0/100,000).4	18.0/100,000).4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	21	57	Risk	risk	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	58	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	59	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	21	60	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	61	also	also	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	21	62	varies	vary	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	21	63	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	64	race	race	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	65	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	21	66	ethnicity	ethnicity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	21	67	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	22	1	National	national	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	22	2	data	datum	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	22	3	suggested	suggest	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	22	4	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	22	5	African	African	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	22	6	Americans	Americans	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	22	7	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	22	8	both	both	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	22	9	female	female	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	22	10	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	22	11	male	male	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	22	12	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	22	13	have	have	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	22	14	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	22	15	highest	high	JJS
work_tkpzrp2tejhdlphbue3jgfbe5y	22	16	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	22	17	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	22	18	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	22	19	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	22	20	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	22	21	when	when	WRB
work_tkpzrp2tejhdlphbue3jgfbe5y	22	22	compared	compare	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	22	23	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	22	24	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	22	25	sub-	sub-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	22	26	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	22	27	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	23	1	Current	current	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	23	2	Surveillance	Surveillance	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	23	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	23	4	Epidemiology	epidemiology	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	5	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	23	6	End	End	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	23	7	Results	result	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	23	8	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	23	9	SEER	SEER	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	23	10	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	23	11	data	datum	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	23	12	from	from	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	13	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	23	14	National	National	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	23	15	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	23	16	Institute	Institute	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	23	17	indicate	indicate	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	23	18	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	19	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	23	20	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	21	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	23	22	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	23	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	23	24	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	25	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	26	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	27	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	28	African	African	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	23	29	Americans	Americans	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	23	30	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	23	31	28.5	28.5	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	23	32	per	per	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	33	100,000	100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	23	34	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	23	35	compared	compare	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	36	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	37	20.7	20.7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	23	38	per	per	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	39	100,000	100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	23	40	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	41	whites	white	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	23	42	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	43	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	23	44	same	same	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	23	45	year.6	year.6	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	23	46	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	23	47	disparity	disparity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	48	trend	trend	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	49	appeared	appear	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	23	50	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	23	51	hold	hold	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	23	52	true	true	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	23	53	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	54	gender	gender	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	55	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	23	56	race	race	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	23	57	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	24	1	Between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	2	1970	1970	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	24	3	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	24	4	1994	1994	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	24	5	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	24	6	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	7	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	24	8	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	9	colon	colon	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	10	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	11	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	12	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	13	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	14	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	24	15	16.57	16.57	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	24	16	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	17	white	white	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	24	18	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	24	19	versus	versus	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	20	12.20	12.20	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	24	21	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	22	white	white	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	24	23	females	female	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	24	24	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	24	25	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	24	26	21.46	21.46	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	24	27	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	28	black	black	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	24	29	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	24	30	versus	versus	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	31	17.22	17.22	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	24	32	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	33	black	black	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	24	34	females	female	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	24	35	per	per	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	36	100,000.7	100,000.7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	24	37	A	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	24	38	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	39	reported	report	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	40	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	41	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	24	42	Southern	Southern	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	43	Medical	Medical	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	44	Journal	Journal	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	45	indicated	indicate	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	24	46	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	47	between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	48	1980	1980	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	24	49	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	24	50	1990	1990	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	24	51	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	24	52	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	24	53	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	54	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	55	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	56	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	57	increased	increase	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	24	58	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	59	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	24	60	statistically	statistically	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	24	61	significant	significant	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	24	62	level	level	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	63	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	24	64	notably	notably	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	24	65	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	66	Afri-	afri-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	24	67	can	can	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	24	68	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	24	69	American	american	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	24	70	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	24	71	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	24	72	males.8	males.8	.
work_tkpzrp2tejhdlphbue3jgfbe5y	24	73	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	74	terms	term	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	24	75	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	76	geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	24	77	distribution	distribution	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	78	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	79	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	80	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	24	81	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	24	82	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	24	83	Dallas	Dallas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	84	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	24	85	Fort	Fort	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	86	Worth	Worth	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	87	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	24	88	Metroplex	Metroplex	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	89	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	24	90	Gulf	Gulf	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	91	Coast	Coast	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	92	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	24	93	Central	Central	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	94	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	24	95	Southwest	Southwest	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	96	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	97	areas	area	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	24	98	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	24	99	namely	namely	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	24	100	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	24	101	Public	Public	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	102	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	103	Regions	Regions	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	24	104	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	24	105	or	or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	24	106	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	107	3	3	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	24	108	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	24	109	5	5	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	24	110	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	24	111	6	6	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	24	112	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	24	113	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	24	114	7	7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	24	115	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	24	116	had	have	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	24	117	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	24	118	highest	high	JJS
work_tkpzrp2tejhdlphbue3jgfbe5y	24	119	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	120	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	24	121	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	122	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	123	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	24	124	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	125	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	24	126	cancer9	cancer9	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	127	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	24	128	refer	refer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	129	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	130	figures	figure	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	24	131	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	24	132	Public	Public	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	133	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	24	134	Regions	Regions	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	24	135	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	24	136	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	25	1	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	2	addition	addition	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	25	4	several	several	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	25	5	Tex-	Tex-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	25	6	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	7	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	25	8	specific	specific	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	25	9	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	10	studies	study	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	25	11	confirmed	confirm	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	25	12	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	13	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	14	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	15	has	have	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	25	16	unevenly	unevenly	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	25	17	burdened	burden	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	18	residents	resident	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	25	19	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	20	specific	specific	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	25	21	geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	25	22	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	25	23	over	over	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	24	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	25	25	extended	extended	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	25	26	period	period	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	27	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	28	time.10,11,12	time.10,11,12	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	25	29	Cooper	Cooper	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	25	30	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	25	31	col-	col-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	25	32	leagues8	leagues8	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	33	reported	report	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	25	34	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	35	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	25	36	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	25	37	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	38	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	39	dis-	dis-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	40	proportionally	proportionally	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	25	41	affected	affect	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	42	certain	certain	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	25	43	racial	racial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	25	44	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	25	45	ethnic	ethnic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	25	46	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	25	47	be-	be-	XX
work_tkpzrp2tejhdlphbue3jgfbe5y	25	48	tween	tween	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	25	49	1980	1980	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	25	50	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	25	51	1991	1991	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	25	52	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	26	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	26	2	affected	affected	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	26	3	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	26	4	included	include	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	26	5	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	26	6	Houston	Houston	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	26	7	/	/	SYM
work_tkpzrp2tejhdlphbue3jgfbe5y	26	8	Harris	Harris	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	26	9	County	County	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	26	10	area	area	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	26	11	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	26	12	non	non	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	26	13	-	-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	26	14	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	26	15	white	white	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	26	16	men	man	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	26	17	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	26	18	women	woman	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	26	19	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	26	20	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	26	21	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	26	22	Victoria	Victoria	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	26	23	Area	Area	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	26	24	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	26	25	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	26	26	men	man	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	26	27	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	26	28	all	all	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	26	29	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	26	30	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	26	31	Region	Region	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	26	32	6	6	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	26	33	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	27	1	Zhan	Zhan	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	27	2	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	27	3	Lin11	Lin11	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	27	4	confirmed	confirm	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	27	5	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	27	6	excess	excess	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	27	7	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	27	8	colon	colon	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	27	9	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	27	10	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	27	11	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	27	12	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	27	13	general	general	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	27	14	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	27	15	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	27	16	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	27	17	South-	South-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	27	18	west	west	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	27	19	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	27	20	Gulf	Gulf	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	27	21	Coast	Coast	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	27	22	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	27	23	Metroplex	Metroplex	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	27	24	Regions	Regions	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	27	25	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	27	26	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	27	27	from	from	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	27	28	1990	1990	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	27	29	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	27	30	1997	1997	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	27	31	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	28	1	To	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	28	2	develop	develop	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	28	3	effective	effective	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	28	4	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	28	5	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	6	prevention	prevention	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	7	inter-	inter-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	8	ventions	vention	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	28	9	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	10	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	11	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	28	12	risk	risk	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	13	populations	population	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	28	14	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	28	15	it	-PRON-	PRP
work_tkpzrp2tejhdlphbue3jgfbe5y	28	16	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	28	17	important	important	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	28	18	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	28	19	understand	understand	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	28	20	how	how	WRB
work_tkpzrp2tejhdlphbue3jgfbe5y	28	21	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	28	22	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	28	23	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	24	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	28	25	distributed	distribute	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	26	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	27	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	28	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	28	29	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	30	different	different	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	28	31	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	28	32	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	28	33	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	28	34	estimate	estimate	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	28	35	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	28	36	persistence	persistence	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	37	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	38	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	28	39	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	28	40	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	41	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	42	terms	term	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	28	43	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	44	whether	whether	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	45	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	28	46	trend	trend	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	47	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	28	48	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	28	49	continues	continue	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	28	50	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	29	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	29	2	purpose	purpose	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	29	3	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	29	4	this	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	29	5	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	29	6	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	29	7	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	29	8	further	further	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	29	9	determine	determine	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	29	10	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	29	11	quantify	quantify	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	29	12	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	29	13	geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	29	14	variation	variation	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	29	15	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	29	16	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	29	17	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	29	18	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	29	19	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	29	20	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	29	21	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	29	22	residents	resident	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	29	23	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	30	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	30	2	present	present	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	30	3	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	30	4	examined	examine	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	30	5	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	30	6	areas	area	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	30	7	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	30	8	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	30	9	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	30	10	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	30	11	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	30	12	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	30	13	15	15	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	30	14	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	30	15	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	30	16	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	30	17	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	30	18	gender	gender	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	30	19	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	30	20	race	race	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	30	21	/	/	SYM
work_tkpzrp2tejhdlphbue3jgfbe5y	30	22	ethnicity	ethnicity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	30	23	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	30	24	their	-PRON-	PRP$
work_tkpzrp2tejhdlphbue3jgfbe5y	30	25	combinations	combination	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	30	26	between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	30	27	1990	1990	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	30	28	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	30	29	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	30	30	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	30	31	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	30	32	compare	compare	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	30	33	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	30	34	contrast	contrast	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	30	35	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	30	36	results	result	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	30	37	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	30	38	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	30	39	published	publish	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	30	40	literature	literature	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	30	41	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	31	1	This	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	31	2	infor-	infor-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	31	3	mation	mation	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	31	4	could	could	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	31	5	prove	prove	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	31	6	beneficial	beneficial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	31	7	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	31	8	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	31	9	allocation	allocation	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	31	10	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	31	11	resources	resource	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	31	12	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	31	13	development	development	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	31	14	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	31	15	preventive	preventive	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	31	16	interventions	intervention	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	31	17	directed	direct	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	31	18	toward	toward	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	31	19	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	31	20	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	31	21	risk	risk	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	31	22	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	31	23	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	31	24	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	32	1	Methods	Methods	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	32	2	Data	Data	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	32	3	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	32	4	analysis	analysis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	32	5	included	include	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	32	6	16	16	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	32	7	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	32	8	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	32	9	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	32	10	group	group	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	32	11	1	1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	32	12	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	32	13	aged	aged	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	32	14	0	0	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	32	15	–	–	SYM
work_tkpzrp2tejhdlphbue3jgfbe5y	32	16	4	4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	32	17	;	;	:
work_tkpzrp2tejhdlphbue3jgfbe5y	32	18	group	group	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	32	19	2	2	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	32	20	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	32	21	5–9	5–9	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	32	22	...	...	:
work_tkpzrp2tejhdlphbue3jgfbe5y	32	23	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	32	24	group	group	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	32	25	16	16	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	32	26	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	32	27	75	75	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	32	28	�	�	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	32	29	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	32	30	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	32	31	two	two	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	32	32	gender	gender	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	32	33	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	32	34	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	32	35	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	32	36	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	32	37	4	4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	32	38	major	major	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	32	39	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	32	40	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	32	41	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	32	42	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	32	43	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	32	44	non	non	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	32	45	-	-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	32	46	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	32	47	white	white	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	32	48	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	32	49	blacks	black	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	32	50	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	32	51	Hispanics	Hispanics	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	32	52	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	32	53	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	32	54	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	32	55	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	32	56	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	32	57	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	33	1	First	first	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	33	2	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	33	3	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	33	4	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	33	5	Case	Case	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	33	6	File	file	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	33	7	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	33	8	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	33	9	created	create	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	33	10	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	33	11	store	store	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	33	12	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	33	13	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	33	14	death	death	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	33	15	cases	case	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	33	16	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	33	17	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	33	18	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	33	19	corresponding	correspond	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	33	20	race	race	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	33	21	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	33	22	gender	gender	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	33	23	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	33	24	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	33	25	group	group	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	33	26	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	33	27	ethnicity	ethnicity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	33	28	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	34	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	34	2	data	datum	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	34	3	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	34	4	counts	count	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	34	5	were	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	34	6	based	base	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	34	7	on	on	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	34	8	ICD-9	ICD-9	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	34	9	codes	code	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	34	10	153	153	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	34	11	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	34	12	154	154	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	34	13	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	34	14	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	34	15	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	34	16	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	34	17	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	34	18	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	34	19	years	year	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	34	20	1990	1990	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	34	21	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	34	22	1998	1998	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	34	23	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	34	24	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	34	25	ICD-10	icd-10	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	34	26	codes	code	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	34	27	C18-C21	c18-c21	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	34	28	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	34	29	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	34	30	years	year	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	34	31	1999	1999	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	34	32	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	34	33	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	34	34	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	35	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	35	2	ICD-10	icd-10	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	35	3	clas-	clas-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	35	4	sification	sification	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	35	5	includes	include	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	35	6	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	35	7	deaths	death	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	35	8	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	35	9	colon	colon	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	35	10	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	35	11	rectum	rectum	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	35	12	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	35	13	anus	anus	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	35	14	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	35	15	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	35	16	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	35	17	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	35	18	rectosigmoid	rectosigmoid	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	35	19	junction	junction	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	35	20	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	35	21	rectum	rectum	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	35	22	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	35	23	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	35	24	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	35	25	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	35	26	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	35	27	anus	anus	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	35	28	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	35	29	anal	anal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	35	30	canal	canal	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	35	31	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	36	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	36	2	data	datum	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	36	3	were	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	36	4	collected	collect	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	36	5	from	from	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	36	6	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	36	7	publicly	publicly	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	36	8	available	available	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	36	9	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	36	10	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	36	11	source	source	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	36	12	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	36	13	Expert	Expert	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	36	14	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	36	15	Data	Data	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	36	16	Programming	Programming	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	36	17	Incorporated	Incorporated	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	36	18	’s	’s	POS
work_tkpzrp2tejhdlphbue3jgfbe5y	36	19	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	36	20	Vitalweb	Vitalweb	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	36	21	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	37	1	Available	available	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	37	2	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	37	3	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	37	4	http://www.ehdp.com	http://www.ehdp.com	ADD
work_tkpzrp2tejhdlphbue3jgfbe5y	37	5	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	37	6	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	38	1	Second	second	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	38	2	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	38	3	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	38	4	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	38	5	Population	Population	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	38	6	File	File	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	38	7	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	38	8	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	38	9	cre-	cre-	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	38	10	ated	ate	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	38	11	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	38	12	store	store	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	38	13	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	38	14	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	38	15	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	38	16	county	county	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	38	17	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	38	18	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	38	19	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	38	20	corresponding	correspond	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	38	21	race	race	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	38	22	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	38	23	gender	gender	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	38	24	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	38	25	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	38	26	group	group	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	38	27	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	38	28	ethnicity	ethnicity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	38	29	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	38	30	each	each	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	38	31	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	38	32	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	38	33	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	38	34	years	year	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	38	35	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	39	1	For	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	39	2	intercensal	intercensal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	39	3	years	year	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	39	4	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	39	5	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	39	6	estimate	estimate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	39	7	data	datum	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	39	8	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	39	9	obtained	obtain	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	39	10	from	from	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	39	11	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	39	12	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	39	13	Population	Population	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	39	14	Center	Center	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	39	15	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	39	16	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	39	17	A&M	A&M	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	39	18	University	University	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	39	19	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	40	1	Finally	finally	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	40	2	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	40	3	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	40	4	third	third	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	40	5	file	file	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	40	6	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	40	7	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	40	8	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	40	9	Geographic	Geographic	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	40	10	File	File	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	40	11	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	40	12	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	40	13	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	40	14	created	create	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	40	15	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	41	1	This	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	41	2	file	file	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	41	3	contained	contain	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	41	4	data	datum	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	41	5	from	from	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	41	6	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	41	7	U.S.	U.S.	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	41	8	Census	Census	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	41	9	Bureau	Bureau	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	41	10	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	41	11	http://www.cdc.gov/epiinfo/usa/tx.exe	http://www.cdc.gov/epiinfo/usa/tx.exe	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	41	12	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	41	13	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	41	14	including	include	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	41	15	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	41	16	longi-	longi-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	41	17	tudinal	tudinal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	41	18	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	41	19	latitudinal	latitudinal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	41	20	information	information	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	41	21	on	on	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	41	22	all	all	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	41	23	254	254	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	41	24	county	county	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	41	25	cen-	cen-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	41	26	troids	troid	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	41	27	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	41	28	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	41	29	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	42	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	42	2	information	information	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	42	3	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	42	4	used	use	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	42	5	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	42	6	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	42	7	proxy	proxy	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	42	8	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	42	9	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	42	10	geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	42	11	location	location	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	42	12	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	42	13	each	each	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	42	14	county	county	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	42	15	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	43	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	43	2	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	43	3	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	43	4	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	43	5	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	43	6	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	43	7	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	43	8	measured	measure	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	43	9	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	43	10	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	43	11	geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	43	12	concentra-	concentra-	XX
work_tkpzrp2tejhdlphbue3jgfbe5y	43	13	tion	tion	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	43	14	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	43	15	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	43	16	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	43	17	relation	relation	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	43	18	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	43	19	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	43	20	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	43	21	over	over	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	43	22	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	43	23	extended	extended	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	43	24	period	period	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	43	25	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	43	26	were	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	43	27	detected	detect	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	43	28	using	use	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	43	29	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	43	30	SaTScan	SaTScan	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	43	31	software18	software18	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	43	32	version	version	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	43	33	4.0	4.0	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	43	34	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	43	35	Available	available	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	43	36	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	43	37	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	43	38	http://www.satscan.org	http://www.satscan.org	ADD
work_tkpzrp2tejhdlphbue3jgfbe5y	43	39	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	43	40	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	44	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	44	2	software	software	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	44	3	per-	per-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	44	4	forms	form	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	44	5	spatial	spatial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	44	6	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	44	7	temporal	temporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	44	8	analysis	analysis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	44	9	adjusting	adjust	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	44	10	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	44	11	covariates	covariate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	44	12	such	such	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	44	13	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	44	14	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	44	15	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	44	16	gender	gender	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	44	17	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	44	18	race	race	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	44	19	/	/	SYM
work_tkpzrp2tejhdlphbue3jgfbe5y	44	20	ethnicity	ethnicity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	44	21	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	45	1	Our	-PRON-	PRP$
work_tkpzrp2tejhdlphbue3jgfbe5y	45	2	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	45	3	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	45	4	modeled	model	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	45	5	after	after	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	45	6	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	45	7	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	45	8	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	45	9	Kulldorff	Kulldorff	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	45	10	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	45	11	colleagues,13	colleagues,13	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	45	12	who	who	WP
work_tkpzrp2tejhdlphbue3jgfbe5y	45	13	had	have	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	45	14	applied	apply	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	45	15	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	45	16	spatial	spatial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	45	17	scan	scan	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	45	18	statistic	statistic	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	45	19	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	45	20	examining	examine	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	45	21	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	45	22	burdens	burden	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	45	23	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	45	24	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	45	25	Los	Los	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	45	26	Alamos	Alamos	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	45	27	region	region	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	45	28	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	45	29	New	New	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	45	30	Mexico	Mexico	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	45	31	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	46	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	46	2	same	same	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	46	3	methodology	methodology	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	4	has	have	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	46	5	been	be	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	6	widely	widely	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	46	7	applied	apply	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	8	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	9	public	public	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	46	10	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	11	studies	study	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	46	12	that	that	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	46	13	inves-	inves-	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	46	14	tigated	tigate	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	46	15	behavior	behavior	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	16	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	46	17	related	relate	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	18	diseases,14	diseases,14	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	19	–	–	:
work_tkpzrp2tejhdlphbue3jgfbe5y	46	20	16	16	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	46	21	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	46	22	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	23	analysis	analysis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	24	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	25	spa-	spa-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	26	tial	tial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	46	27	distributions	distribution	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	46	28	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	29	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	30	outcomes	outcome	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	46	31	data	datum	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	46	32	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	33	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	34	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	46	35	including	include	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	46	36	colon	colon	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	37	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	38	mortality,11	mortality,11	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	39	breast	breast	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	40	cancer10	cancer10	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	41	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	46	42	accidental	accidental	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	46	43	poi-	poi-	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	44	Hsu	Hsu	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	45	et	et	FW
work_tkpzrp2tejhdlphbue3jgfbe5y	46	46	al	al	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	47	•	•	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	48	Surveillance	Surveillance	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	49	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	50	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	46	51	Colorectal	Colorectal	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	52	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	53	Disparities	Disparities	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	46	54	Among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	55	Demographic	Demographic	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	56	Subgroups	Subgroups	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	57	950	950	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	46	58	©	©	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	46	59	2006	2006	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	46	60	Southern	Southern	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	61	Medical	Medical	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	62	Association	Association	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	63	soning	sone	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	46	64	disparities.17	disparities.17	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	65	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	46	66	stepwise	stepwise	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	67	procedures	procedure	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	46	68	were	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	46	69	reported	report	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	70	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	71	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	46	72	authors	author	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	46	73	elsewhere.10,17	elsewhere.10,17	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	74	SaTScan	satscan	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	46	75	employs	employ	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	46	76	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	46	77	Monte-	Monte-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	78	Carlo	Carlo	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	46	79	simulation	simulation	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	80	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	46	81	conduct	conduct	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	46	82	hypothesis	hypothesis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	83	testing	testing	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	84	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	46	85	which	which	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	46	86	can	can	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	46	87	differentiate	differentiate	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	46	88	areas	area	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	46	89	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	90	unequal	unequal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	46	91	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	92	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	93	burden	burden	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	46	94	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	47	1	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	47	2	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	47	3	present	present	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	47	4	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	47	5	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	47	6	statistical	statistical	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	47	7	significance	significance	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	47	8	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	47	9	established	establish	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	47	10	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	47	11	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	47	12	0.05	0.05	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	47	13	level	level	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	47	14	without	without	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	47	15	adjusting	adjust	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	47	16	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	47	17	significance	significance	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	47	18	level	level	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	47	19	due	due	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	47	20	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	47	21	multiple	multiple	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	47	22	comparisons	comparison	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	47	23	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	48	1	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	48	2	addition	addition	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	48	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	48	4	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	48	5	space	space	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	48	6	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	48	7	time	time	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	48	8	relationship	relationship	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	48	9	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	48	10	examined	examine	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	48	11	between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	48	12	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	48	13	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	48	14	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	48	15	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	48	16	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	48	17	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	48	18	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	48	19	defined	define	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	48	20	geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	48	21	area	area	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	48	22	being	be	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	48	23	studied	study	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	48	24	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	48	25	ie	ie	FW
work_tkpzrp2tejhdlphbue3jgfbe5y	48	26	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	48	27	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	48	28	county	county	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	48	29	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	48	30	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	49	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	49	2	null	null	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	49	3	hypothesis	hypothesis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	4	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	5	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	49	6	homogenous	homogenous	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	49	7	Poisson	Poisson	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	49	8	process	process	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	9	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	10	this	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	49	11	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	12	provides	provide	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	49	13	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	14	when	when	WRB
work_tkpzrp2tejhdlphbue3jgfbe5y	49	15	no	no	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	49	16	covariates	covariate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	49	17	are	be	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	49	18	being	be	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	49	19	consid-	consid-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	20	ered	ered	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	49	21	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	49	22	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	49	23	expected	expected	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	49	24	deaths	death	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	49	25	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	26	each	each	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	49	27	county	county	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	28	are	be	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	49	29	proportional	proportional	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	49	30	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	31	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	49	32	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	33	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	34	that	that	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	49	35	county	county	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	36	area	area	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	37	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	49	38	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	39	there	there	EX
work_tkpzrp2tejhdlphbue3jgfbe5y	49	40	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	49	41	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	49	42	absence	absence	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	43	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	44	time	time	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	45	trend	trend	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	49	46	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	50	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	50	2	alternative	alternative	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	50	3	hypothesis	hypothesis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	50	4	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	50	5	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	50	6	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	50	7	deaths	death	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	50	8	are	be	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	50	9	not	not	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	50	10	homogenously	homogenously	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	50	11	distributed	distribute	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	50	12	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	50	13	or	or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	50	14	not	not	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	50	15	exactly	exactly	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	50	16	proportional	proportional	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	50	17	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	50	18	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	50	19	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	50	20	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	50	21	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	50	22	same	same	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	50	23	geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	50	24	area	area	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	50	25	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	50	26	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	50	27	and/or	and/or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	50	28	there	there	EX
work_tkpzrp2tejhdlphbue3jgfbe5y	50	29	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	50	30	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	50	31	presence	presence	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	50	32	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	50	33	temporal	temporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	50	34	trend	trend	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	50	35	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	50	36	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	50	37	inhomogeneous	inhomogeneous	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	50	38	distribution	distribution	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	50	39	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	50	40	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	50	41	outcomes	outcome	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	50	42	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	51	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	51	2	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	51	3	used	use	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	51	4	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	51	5	parameter	parameter	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	51	6	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	51	7	50	50	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	51	8	%	%	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	51	9	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	51	10	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	51	11	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	51	12	risk	risk	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	51	13	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	51	14	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	51	15	which	which	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	51	16	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	51	17	cluster	cluster	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	51	18	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	51	19	if	if	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	51	20	detected	detect	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	51	21	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	51	22	would	would	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	51	23	comprise	comprise	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	51	24	at	at	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	51	25	most	most	JJS
work_tkpzrp2tejhdlphbue3jgfbe5y	51	26	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	51	27	50	50	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	51	28	%	%	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	51	29	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	51	30	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	51	31	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	51	32	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	51	33	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	52	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	52	2	param-	param-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	52	3	eter	eter	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	52	4	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	52	5	proposed	propose	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	52	6	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	52	7	Kulldorff13	Kulldorff13	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	52	8	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	52	9	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	52	10	optimal	optimal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	52	11	setting	setting	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	52	12	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	53	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	53	2	temporal	temporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	53	3	setting	setting	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	4	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	5	clusters	cluster	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	53	6	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	53	7	set	set	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	8	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	9	90	90	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	53	10	%	%	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	11	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	53	12	meaning	mean	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	53	13	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	14	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	53	15	detected	detected	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	53	16	cluster	cluster	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	17	would	would	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	53	18	include	include	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	53	19	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	53	20	maximum	maximum	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	21	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	22	90	90	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	53	23	%	%	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	24	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	25	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	53	26	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	27	period	period	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	28	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	53	29	ie	ie	FW
work_tkpzrp2tejhdlphbue3jgfbe5y	53	30	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	53	31	up	up	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	32	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	33	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	53	34	maximum	maximum	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	35	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	36	10	10	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	53	37	years	year	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	53	38	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	53	39	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	53	40	while	while	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	41	time	time	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	42	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	53	43	treated	treat	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	44	nonparametrically	nonparametrically	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	53	45	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	53	46	ie	ie	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	53	47	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	53	48	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	49	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	53	50	indicator	indicator	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	51	variable	variable	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	52	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	53	53	make	make	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	53	54	sure	sure	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	53	55	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	53	56	clusters	cluster	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	53	57	are	be	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	53	58	not	not	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	53	59	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	53	60	artifact	artifact	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	61	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	62	temporal	temporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	53	63	trend	trend	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	53	64	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	54	1	This	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	54	2	spatial	spatial	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	54	3	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	54	4	temporal	temporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	54	5	analysis	analysis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	54	6	also	also	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	54	7	includes	include	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	54	8	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	54	9	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	54	10	spatial	spatial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	54	11	only	only	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	54	12	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	54	13	anal-	anal-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	54	14	ysis	ysis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	54	15	that	that	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	54	16	allowed	allow	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	54	17	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	54	18	examination	examination	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	54	19	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	54	20	cross	cross	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	54	21	-	-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	54	22	sectional	sectional	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	54	23	preva-	preva-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	54	24	lence	lence	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	54	25	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	54	26	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	54	27	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	54	28	deaths	death	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	54	29	over	over	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	54	30	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	54	31	entire	entire	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	54	32	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	54	33	period	period	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	54	34	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	54	35	12	12	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	54	36	years	year	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	54	37	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	54	38	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	55	1	A	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	55	2	brief	brief	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	55	3	review	review	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	4	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	5	scan	scan	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	55	6	statistics	statistic	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	55	7	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	55	8	their	-PRON-	PRP$
work_tkpzrp2tejhdlphbue3jgfbe5y	55	9	appli-	appli-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	55	10	cations	cation	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	55	11	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	12	ecological	ecological	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	55	13	studies	study	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	55	14	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	55	15	environmental	environmental	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	55	16	sciences	science	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	55	17	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	55	18	available	available	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	55	19	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	20	Patil	Patil	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	55	21	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	55	22	Taillie.18	Taillie.18	``
work_tkpzrp2tejhdlphbue3jgfbe5y	55	23	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	55	24	Poisson	Poisson	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	55	25	model	model	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	26	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	55	27	appli-	appli-	XX
work_tkpzrp2tejhdlphbue3jgfbe5y	55	28	cable	cable	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	29	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	30	this	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	55	31	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	32	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	33	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	55	34	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	35	because	because	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	36	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	55	37	analysis	analysis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	38	involved	involve	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	55	39	small	small	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	55	40	numbers	number	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	55	41	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	42	cases	case	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	55	43	against	against	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	44	larger	large	JJR
work_tkpzrp2tejhdlphbue3jgfbe5y	55	45	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	46	denominators	denominator	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	55	47	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	55	48	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	49	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	55	50	often	often	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	55	51	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	55	52	case	case	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	53	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	54	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	55	55	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	56	1	This	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	56	2	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	56	3	par-	par-	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	56	4	ticularly	ticularly	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	56	5	true	true	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	56	6	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	7	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	56	8	state	state	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	9	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	10	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	56	11	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	56	12	where	where	WRB
work_tkpzrp2tejhdlphbue3jgfbe5y	56	13	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	14	2003	2003	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	56	15	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	56	16	age-	age-	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	56	17	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	18	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	19	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	20	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	21	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	56	22	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	23	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	56	24	estimated	estimate	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	25	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	26	26.1	26.1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	56	27	per	per	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	28	100,000	100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	56	29	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	30	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	56	31	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	56	32	17.4	17.4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	56	33	per	per	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	34	100,000	100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	56	35	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	36	females.1	females.1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	56	37	Both	both	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	56	38	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	56	39	are	be	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	56	40	relatively	relatively	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	56	41	small	small	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	56	42	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	43	terms	term	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	56	44	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	45	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	56	46	number	number	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	47	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	48	deaths	death	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	56	49	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	50	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	56	51	numerator	numerator	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	52	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	56	53	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	56	54	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	55	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	56	risk	risk	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	57	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	58	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	56	59	denominator	denominator	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	56	60	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	57	1	All	all	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	57	2	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	57	3	are	be	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	57	4	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	57	5	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	57	6	standardized	standardize	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	57	7	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	57	8	stratified	stratify	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	57	9	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	57	10	each	each	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	57	11	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	57	12	16	16	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	57	13	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	57	14	using	use	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	57	15	indirect	indirect	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	57	16	standardization	standardization	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	57	17	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	58	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	58	2	SaTScan	satscan	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	58	3	analysis	analysis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	58	4	produced	produce	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	58	5	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	58	6	metrics	metric	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	58	7	useful	useful	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	58	8	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	58	9	quantifying	quantify	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	58	10	spatial	spatial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	58	11	clustering	clustering	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	58	12	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	58	13	estimating	estimate	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	58	14	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	58	15	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	58	16	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	58	17	each	each	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	58	18	group	group	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	58	19	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	59	1	These	these	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	59	2	measurements	measurement	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	59	3	included	include	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	59	4	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	59	5	P	p	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	59	6	value	value	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	59	7	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	59	8	standardized	standardized	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	59	9	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	59	10	ratio	ratio	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	59	11	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	59	12	SMR	SMR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	59	13	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	59	14	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	59	15	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	59	16	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	59	17	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	59	18	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	59	19	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	59	20	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	59	21	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	59	22	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	59	23	duration	duration	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	59	24	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	59	25	excess	excess	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	59	26	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	60	1	They	-PRON-	PRP
work_tkpzrp2tejhdlphbue3jgfbe5y	60	2	were	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	60	3	then	then	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	60	4	imported	import	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	60	5	into	into	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	60	6	ArcGIS	ArcGIS	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	60	7	8.0	8.0	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	60	8	software	software	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	60	9	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	60	10	produce	produce	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	60	11	Geographic	Geographic	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	60	12	Information	Information	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	60	13	Systems	Systems	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	60	14	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	60	15	GIS	GIS	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	60	16	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	60	17	maps	map	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	60	18	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	60	19	so	so	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	60	20	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	60	21	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	60	22	present	present	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	60	23	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	60	24	visual	visual	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	60	25	illustration	illustration	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	60	26	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	60	27	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	60	28	actual	actual	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	60	29	disparity	disparity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	60	30	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	60	31	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	60	32	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	60	33	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	60	34	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	60	35	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	60	36	county	county	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	60	37	ex-	ex-	XX
work_tkpzrp2tejhdlphbue3jgfbe5y	60	38	cess	cess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	60	39	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	60	40	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	61	1	For	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	61	2	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	61	3	purpose	purpose	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	61	4	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	61	5	analysis	analysis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	61	6	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	61	7	we	-PRON-	PRP
work_tkpzrp2tejhdlphbue3jgfbe5y	61	8	color	color	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	61	9	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	61	10	shaded	shade	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	61	11	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	61	12	detected	detected	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	61	13	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	61	14	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	61	15	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	61	16	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	61	17	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	61	18	dissolved	dissolve	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	61	19	county	county	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	61	20	boundaries	boundary	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	61	21	overlaid	overlay	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	61	22	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	61	23	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	61	24	geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	61	25	boundary	boundary	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	61	26	file	file	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	61	27	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	61	28	11	11	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	61	29	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	61	30	Public	Public	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	61	31	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	61	32	Regions	Regions	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	61	33	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	61	34	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	61	35	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	61	36	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	62	1	Results	result	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	62	2	This	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	62	3	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	62	4	included	include	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	62	5	390,144	390,144	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	62	6	records	record	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	62	7	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	62	8	both	both	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	62	9	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	62	10	case	case	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	62	11	file	file	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	62	12	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	62	13	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	62	14	file	file	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	62	15	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	62	16	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	62	17	254	254	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	62	18	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	62	19	counties	county	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	62	20	between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	62	21	1990	1990	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	62	22	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	62	23	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	62	24	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	63	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	63	2	overall	overall	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	63	3	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	63	4	trends	trend	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	63	5	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	63	6	specific	specific	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	63	7	geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	63	8	variations	variation	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	63	9	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	63	10	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	63	11	are	be	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	63	12	presented	present	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	63	13	below	below	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	63	14	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	64	1	For	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	64	2	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	64	3	12-year	12-year	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	64	4	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	64	5	period	period	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	64	6	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	64	7	there	there	EX
work_tkpzrp2tejhdlphbue3jgfbe5y	64	8	were	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	64	9	37,596	37,596	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	64	10	deaths	death	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	64	11	attributable	attributable	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	64	12	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	64	13	colo-	colo-	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	64	14	rectal	rectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	64	15	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	64	16	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	64	17	resulting	result	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	64	18	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	64	19	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	64	20	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	64	21	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	64	22	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	64	23	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	64	24	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	64	25	16.5	16.5	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	64	26	per	per	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	64	27	100,000	100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	64	28	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	65	1	Males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	65	2	had	have	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	65	3	higher	high	JJR
work_tkpzrp2tejhdlphbue3jgfbe5y	65	4	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	65	5	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	65	6	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	65	7	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	65	8	race	race	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	65	9	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	65	10	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	65	11	Table	table	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	65	12	1	1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	65	13	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	66	1	Characteristics	Characteristics	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	66	2	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	3	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	4	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	5	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	66	6	deaths	death	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	66	7	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	66	8	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	66	9	1990	1990	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	10	–	–	:
work_tkpzrp2tejhdlphbue3jgfbe5y	66	11	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	12	Population	Population	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	66	13	Average	average	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	66	14	total	total	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	66	15	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	16	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	66	17	%	%	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	18	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	66	19	Cumulative	cumulative	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	66	20	deaths	death	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	66	21	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	66	22	%	%	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	23	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	66	24	Annual	annual	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	66	25	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	26	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	66	27	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	28	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	29	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	66	30	per	per	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	31	100,000	100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	32	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	66	33	All	all	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	66	34	18,974,226	18,974,226	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	35	100	100	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	36	37,596	37,596	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	37	100	100	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	38	16.5	16.5	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	39	Male	male	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	40	9,388,316	9,388,316	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	41	49.48	49.48	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	42	19,133	19,133	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	43	50.89	50.89	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	44	17.0	17.0	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	45	Female	Female	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	66	46	9,585,911	9,585,911	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	47	50.52	50.52	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	48	18,463	18,463	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	49	49.11	49.11	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	50	16.1	16.1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	51	Black	black	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	66	52	2,205,661	2,205,661	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	53	11.62	11.62	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	54	5,283	5,283	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	55	14.05	14.05	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	56	20.0	20.0	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	57	Male	Male	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	66	58	1,068,714	1,068,714	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	59	5.63	5.63	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	60	2,589	2,589	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	61	6.89	6.89	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	62	20.2	20.2	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	63	Female	female	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	66	64	1,136,947	1,136,947	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	65	5.99	5.99	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	66	2,694	2,694	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	67	7.17	7.17	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	68	19.7	19.7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	69	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	66	70	5,342,242	5,342,242	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	71	28.16	28.16	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	72	4,313	4,313	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	73	11.47	11.47	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	74	6.7	6.7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	75	Male	male	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	76	2,696,015	2,696,015	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	77	14.21	14.21	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	78	2,500	2,500	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	79	6.65	6.65	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	80	7.7	7.7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	81	Female	female	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	66	82	2,646,227	2,646,227	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	83	13.95	13.95	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	84	1,813	1,813	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	85	4.82	4.82	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	86	5.7	5.7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	87	Non	non	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	66	88	-	-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	66	89	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	66	90	White	White	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	66	91	10,946,960	10,946,960	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	92	57.69	57.69	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	93	27,745	27,745	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	94	73.80	73.80	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	95	21.1	21.1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	96	Male	male	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	97	5,384,897	5,384,897	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	98	28.38	28.38	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	99	13,925	13,925	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	100	37.04	37.04	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	101	21.5	21.5	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	102	Female	Female	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	66	103	5,562,063	5,562,063	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	104	29.31	29.31	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	105	13,820	13,820	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	106	36.76	36.76	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	107	20.7	20.7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	108	Other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	66	109	479,363	479,363	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	110	2.53	2.53	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	111	255	255	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	112	0.68	0.68	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	113	4.4	4.4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	114	Male	male	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	115	240,673	240,673	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	116	1.27	1.27	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	117	136	136	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	118	0.36	0.36	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	119	4.7	4.7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	120	Female	Female	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	66	121	238,690	238,690	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	122	1.26	1.26	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	123	119	119	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	124	0.32	0.32	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	125	4.2	4.2	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	126	CME	CME	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	66	127	Topic	Topic	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	66	128	Southern	Southern	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	66	129	Medical	Medical	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	66	130	Journal	Journal	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	66	131	•	•	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	66	132	Volume	volume	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	133	99	99	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	134	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	66	135	Number	number	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	136	9	9	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	137	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	66	138	September	September	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	66	139	2006	2006	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	140	951	951	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	141	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	66	142	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	143	17.0	17.0	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	144	per	per	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	145	100,000	100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	146	than	than	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	147	females	female	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	66	148	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	149	16.1	16.1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	150	per	per	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	66	151	100,000	100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	66	152	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	67	1	Table	table	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	67	2	1	1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	67	3	summarizes	summarize	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	67	4	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	67	5	demographic	demographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	67	6	characteristics	characteristic	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	67	7	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	67	8	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	67	9	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	67	10	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	67	11	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	67	12	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	67	13	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	68	1	When	when	WRB
work_tkpzrp2tejhdlphbue3jgfbe5y	68	2	compared	compare	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	68	3	across	across	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	68	4	major	major	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	68	5	racial	racial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	68	6	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	68	7	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	68	8	non	non	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	68	9	-	-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	68	10	His-	his-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	68	11	panic	panic	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	68	12	whites	white	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	68	13	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	68	14	blacks	black	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	68	15	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	68	16	Hispanics	Hispanics	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	68	17	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	68	18	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	68	19	others	other	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	68	20	had	have	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	68	21	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	68	22	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	68	23	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	68	24	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	68	25	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	68	26	21.1	21.1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	68	27	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	68	28	20.0	20.0	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	68	29	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	68	30	6.7	6.7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	68	31	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	68	32	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	68	33	4.4	4.4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	68	34	per	per	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	68	35	100,000	100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	68	36	respectively	respectively	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	68	37	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	69	1	Mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	69	2	disparities	disparity	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	69	3	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	69	4	gender	gender	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	69	5	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	69	6	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	69	7	selected	select	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	69	8	racial/	racial/	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	69	9	ethnic	ethnic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	69	10	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	69	11	were	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	69	12	apparent	apparent	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	69	13	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	69	14	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	69	15	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	69	16	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	69	17	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	69	18	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	69	19	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	69	20	female	female	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	69	21	non	non	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	69	22	-	-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	69	23	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	69	24	whites	white	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	69	25	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	69	26	blacks	black	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	69	27	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	69	28	Hispanics	Hispanics	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	69	29	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	69	30	others	other	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	69	31	were	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	69	32	20.7	20.7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	69	33	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	69	34	19.7	19.7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	69	35	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	69	36	5.7	5.7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	69	37	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	69	38	4.7	4.7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	69	39	per	per	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	69	40	100,000	100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	69	41	;	;	:
work_tkpzrp2tejhdlphbue3jgfbe5y	69	42	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	69	43	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	69	44	male	male	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	69	45	non-	non-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	69	46	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	69	47	whites	white	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	69	48	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	69	49	blacks	black	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	69	50	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	69	51	Hispanics	Hispanics	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	69	52	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	69	53	others	other	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	69	54	were	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	69	55	21.5	21.5	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	69	56	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	69	57	20.2	20.2	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	69	58	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	69	59	7.7	7.7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	69	60	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	69	61	4.2	4.2	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	69	62	respectively	respectively	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	69	63	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	70	1	Table	table	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	70	2	2	2	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	70	3	summarizes	summarize	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	70	4	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	70	5	measurements	measurement	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	70	6	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	70	7	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	70	8	mortal-	mortal-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	70	9	ity	ity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	70	10	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	70	11	SMR	SMR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	70	12	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	70	13	P	p	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	70	14	value	value	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	70	15	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	70	16	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	70	17	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	70	18	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	70	19	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	70	20	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	70	21	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	70	22	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	70	23	duration	duration	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	70	24	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	70	25	excess	excess	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	70	26	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	70	27	each	each	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	70	28	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	70	29	15	15	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	70	30	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	70	31	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	70	32	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	71	1	To	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	71	2	determine	determine	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	71	3	po-	po-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	71	4	tential	tential	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	71	5	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	71	6	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	71	7	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	71	8	we	-PRON-	PRP
work_tkpzrp2tejhdlphbue3jgfbe5y	71	9	present	present	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	71	10	color	color	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	71	11	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	71	12	shaded	shaded	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	71	13	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	71	14	mor-	mor-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	71	15	tality	tality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	71	16	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	71	17	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	71	18	Figure	figure	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	71	19	1	1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	71	20	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	72	1	A	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	72	2	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	72	3	most	most	RBS
work_tkpzrp2tejhdlphbue3jgfbe5y	72	4	likely	likely	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	72	5	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	72	6	or	or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	72	7	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	72	8	secondary	secondary	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	72	9	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	72	10	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	72	11	region	region	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	72	12	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	72	13	identified	identify	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	72	14	based	base	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	72	15	on	on	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	72	16	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	72	17	values	value	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	72	18	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	72	19	1	1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	72	20	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	72	21	statistical	statistical	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	72	22	significance	significance	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	72	23	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	72	24	2	2	LS
work_tkpzrp2tejhdlphbue3jgfbe5y	72	25	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	72	26	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	72	27	high	high	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	72	28	SMR	smr	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	72	29	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	72	30	3	3	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	72	31	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	72	32	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	72	33	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	72	34	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	72	35	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	72	36	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	72	37	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	72	38	4	4	LS
work_tkpzrp2tejhdlphbue3jgfbe5y	72	39	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	72	40	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	72	41	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	72	42	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	72	43	that	that	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	72	44	persisted	persist	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	72	45	through	through	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	72	46	most	most	JJS
work_tkpzrp2tejhdlphbue3jgfbe5y	72	47	recent	recent	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	72	48	years	year	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	72	49	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	72	50	ie	ie	FW
work_tkpzrp2tejhdlphbue3jgfbe5y	72	51	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	72	52	year	year	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	72	53	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	72	54	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	72	55	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	73	1	Among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	73	2	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	73	3	15	15	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	73	4	combined	combined	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	73	5	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	73	6	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	73	7	gender	gender	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	73	8	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	73	9	race	race	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	73	10	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	73	11	race	race	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	73	12	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	73	13	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	73	14	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	73	15	gender	gender	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	73	16	examined	examine	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	73	17	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	73	18	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	73	19	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	73	20	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	73	21	13	13	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	73	22	public	public	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	73	23	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	73	24	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	73	25	*	*	NFP
work_tkpzrp2tejhdlphbue3jgfbe5y	73	26	were	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	73	27	identified	identify	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	73	28	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	73	29	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	73	30	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	73	31	colo-	colo-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	73	32	rectal	rectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	73	33	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	73	34	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	73	35	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	73	36	statistical	statistical	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	73	37	significance	significance	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	73	38	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	74	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	74	2	major-	major-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	74	3	ity	ity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	74	4	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	74	5	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	74	6	areas	area	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	74	7	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	74	8	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	74	9	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	74	10	were	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	74	11	located	locate	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	74	12	throughout	throughout	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	74	13	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	74	14	Southeastern	southeastern	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	74	15	region	region	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	74	16	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	74	17	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	74	18	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	74	19	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	74	20	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	74	21	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	74	22	Dallas	Dallas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	74	23	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	74	24	Fort	Fort	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	74	25	Worth	Worth	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	74	26	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	74	27	Metroplex	Metroplex	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	74	28	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	74	29	involving	involve	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	74	30	8	8	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	74	31	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	74	32	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	74	33	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	74	34	North	North	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	74	35	East	East	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	74	36	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	74	37	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	74	38	involving	involve	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	74	39	4	4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	74	40	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	74	41	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	74	42	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	75	1	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	75	2	terms	term	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	75	3	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	75	4	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	75	5	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	75	6	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	75	7	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	75	8	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	75	9	black	black	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	75	10	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	75	11	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	75	12	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	75	13	counties	county	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	75	14	near	near	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	75	15	Metroplex	Metroplex	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	75	16	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	75	17	Central	Central	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	75	18	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	75	19	pre-	pre-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	75	20	sented	sente	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	75	21	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	75	22	highest	high	JJS
work_tkpzrp2tejhdlphbue3jgfbe5y	75	23	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	75	24	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	75	25	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	75	26	37.3/100,000	37.3/100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	75	27	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	75	28	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	75	29	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	75	30	high-	high-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	75	31	est	est	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	75	32	SMR	SMR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	75	33	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	75	34	RR	RR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	75	35	�	�	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	75	36	1.84	1.84	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	75	37	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	75	38	;	;	:
work_tkpzrp2tejhdlphbue3jgfbe5y	75	39	however	however	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	75	40	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	75	41	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	75	42	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	75	43	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	75	44	oc-	oc-	XX
work_tkpzrp2tejhdlphbue3jgfbe5y	75	45	curred	curre	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	75	46	only	only	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	75	47	one	one	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	75	48	year	year	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	75	49	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	75	50	1996	1996	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	75	51	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	75	52	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	75	53	it	-PRON-	PRP
work_tkpzrp2tejhdlphbue3jgfbe5y	75	54	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	75	55	not	not	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	75	56	statistically	statistically	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	75	57	significant	significant	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	75	58	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	75	59	P	p	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	75	60	�	�	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	75	61	0.926	0.926	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	75	62	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	75	63	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	76	1	Non	non	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	76	2	-	-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	76	3	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	76	4	white	white	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	76	5	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	76	6	also	also	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	76	7	pre-	pre-	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	76	8	sented	sente	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	76	9	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	76	10	significant	significant	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	76	11	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	76	12	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	76	13	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	76	14	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	76	15	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	76	16	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	76	17	28.6	28.6	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	76	18	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	76	19	24.8	24.8	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	76	20	per	per	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	76	21	100,000	100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	76	22	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	76	23	1990	1990	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	76	24	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	76	25	1994	1994	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	76	26	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	76	27	1997	1997	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	76	28	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	76	29	1999	1999	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	76	30	respec-	respec-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	76	31	tively	tively	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	76	32	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	76	33	followed	follow	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	76	34	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	76	35	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	76	36	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	76	37	all	all	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	76	38	male	male	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	76	39	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	76	40	group	group	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	76	41	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	76	42	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	76	43	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	76	44	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	76	45	24.7	24.7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	76	46	per	per	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	76	47	100,000	100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	76	48	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	76	49	RR	RR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	76	50	�	�	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	76	51	1.45	1.45	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	76	52	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	76	53	between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	76	54	2000	2000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	76	55	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	76	56	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	76	57	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	77	1	Other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	77	2	female	female	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	77	3	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	77	4	male	male	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	77	5	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	77	6	did	do	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	77	7	not	not	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	77	8	present	present	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	77	9	statistically	statistically	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	77	10	signifi-	signifi-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	77	11	ca	can	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	77	12	nt	not	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	77	13	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	77	14	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	77	15	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	78	1	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	78	2	terms	term	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	78	3	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	78	4	most	most	JJS
work_tkpzrp2tejhdlphbue3jgfbe5y	78	5	recent	recent	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	78	6	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	78	7	mortal-	mortal-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	78	8	*	*	NFP
work_tkpzrp2tejhdlphbue3jgfbe5y	78	9	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	78	10	this	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	78	11	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	78	12	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	78	13	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	78	14	reference	reference	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	78	15	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	78	16	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	78	17	public	public	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	78	18	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	78	19	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	78	20	follows	follow	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	78	21	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	78	22	conventional	conventional	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	78	23	naming	naming	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	78	24	system	system	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	78	25	used	use	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	78	26	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	78	27	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	78	28	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	78	29	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	78	30	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	78	31	Human	Human	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	78	32	Ser-	Ser-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	78	33	vices	vice	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	78	34	Regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	78	35	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	78	36	THHS	THHS	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	78	37	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	78	38	2005	2005	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	78	39	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	78	40	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	79	1	Available	available	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	79	2	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	79	3	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	79	4	http://www.hhs.state.tx.us/	http://www.hhs.state.tx.us/	ADD
work_tkpzrp2tejhdlphbue3jgfbe5y	79	5	aboutHHS	aboutHHS	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	79	6	/	/	SYM
work_tkpzrp2tejhdlphbue3jgfbe5y	79	7	HHS_Regions.shtml	HHS_Regions.shtml	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	79	8	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	80	1	Accessed	access	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	80	2	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	80	3	July	July	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	80	4	10	10	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	80	5	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	80	6	2005	2005	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	80	7	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	81	1	Table	table	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	81	2	2	2	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	81	3	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	82	1	Potential	potential	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	82	2	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	82	3	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	82	4	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	82	5	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	82	6	subgroup	subgroup	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	82	7	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	82	8	geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	82	9	region	region	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	82	10	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	82	11	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	82	12	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	82	13	Population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	82	14	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	82	15	Years	year	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	82	16	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	82	17	duration	duration	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	82	18	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	82	19	No	no	UH
work_tkpzrp2tejhdlphbue3jgfbe5y	82	20	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	83	1	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	2	deaths	death	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	83	3	Annual	Annual	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	4	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	5	adjusted	adjust	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	6	rate/	rate/	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	7	100,000	100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	8	P	p	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	9	value	value	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	10	Standardized	standardized	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	11	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	12	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	13	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	14	Figure	Figure	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	15	1	1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	16	label	label	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	17	Spatiotemporal	spatiotemporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	18	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	19	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	20	All	all	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	83	21	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	22	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	83	23	A	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	83	24	1990–1997(8	1990–1997(8	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	25	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	83	26	7,544	7,544	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	27	17.5	17.5	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	28	0.002	0.002	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	29	1.06	1.06	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	30	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	31	5–8,11	5–8,11	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	32	1.1	1.1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	33	A	a	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	34	All	all	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	83	35	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	36	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	83	37	B	b	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	38	1993–2000(8	1993–2000(8	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	39	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	83	40	1,096	1,096	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	41	19.5	19.5	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	42	0.003	0.003	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	43	1.18	1.18	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	44	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	45	3–4	3–4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	46	1.1	1.1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	47	B	b	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	48	All	all	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	83	49	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	83	50	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	83	51	A	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	83	52	1991–1994(4	1991–1994(4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	53	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	83	54	1,579	1,579	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	55	19.4	19.4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	56	0.007	0.007	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	57	1.14	1.14	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	58	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	59	5–8	5–8	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	60	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	83	61	11	11	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	62	1.2	1.2	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	63	A	a	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	64	All	All	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	65	male	male	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	66	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	83	67	B	B	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	68	2000–2001(2	2000–2001(2	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	69	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	83	70	197	197	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	71	24.7	24.7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	72	0.035	0.035	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	73	1.45	1.45	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	74	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	75	3–4	3–4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	76	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	83	77	7	7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	78	1.2	1.2	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	79	B	B	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	80	All	all	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	83	81	females	female	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	83	82	1991–1999(9	1991–1999(9	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	83	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	83	84	927	927	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	85	19.4	19.4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	86	0.001	0.001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	87	1.21	1.21	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	88	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	89	3–4	3–4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	90	1.3	1.3	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	91	Non	non	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	92	-	-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	93	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	94	white	white	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	95	females	female	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	83	96	1994–2001(8	1994–2001(8	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	97	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	83	98	1,878	1,878	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	99	23.5	23.5	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	100	0.002	0.002	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	101	1.14	1.14	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	102	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	103	3–7	3–7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	104	1.7	1.7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	105	Non	non	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	106	-	-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	107	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	108	white	white	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	109	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	83	110	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	83	111	A	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	83	112	1990–1994(5	1990–1994(5	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	113	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	83	114	1,489	1,489	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	115	24.8	24.8	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	116	0.001	0.001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	117	1.15	1.15	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	118	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	119	6–8	6–8	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	83	120	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	83	121	11	11	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	122	1.10A	1.10A	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	123	Non	non	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	124	-	-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	125	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	126	white	white	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	127	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	83	128	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	83	129	B	B	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	130	1997–1999(3	1997–1999(3	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	131	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	83	132	367	367	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	133	28.6	28.6	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	134	0.009	0.009	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	135	1.33	1.33	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	136	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	137	2–3	2–3	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	138	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	83	139	7	7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	140	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	83	141	9	9	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	142	1.10B	1.10b	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	143	Black	Black	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	144	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	83	145	male	male	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	146	1996–1996(1	1996–1996(1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	147	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	83	148	41	41	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	149	37.3	37.3	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	150	0.926	0.926	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	151	1.84	1.84	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	152	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	153	3	3	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	154	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	83	155	7	7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	156	1.11	1.11	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	157	Other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	158	male	male	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	159	1993–1993(1	1993–1993(1	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	160	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	83	161	2	2	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	162	440.4	440.4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	163	0.449	0.449	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	164	106	106	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	165	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	166	3	3	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	167	–	–	:
work_tkpzrp2tejhdlphbue3jgfbe5y	83	168	Other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	169	female	female	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	170	2000–2001(2	2000–2001(2	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	171	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	83	172	5	5	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	173	61.3	61.3	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	174	0.267	0.267	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	175	13.00	13.00	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	176	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	177	2	2	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	178	–	–	:
work_tkpzrp2tejhdlphbue3jgfbe5y	83	179	Spatial	spatial	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	83	180	only	only	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	83	181	All	all	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	83	182	non	non	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	183	-	-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	184	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	185	whites	white	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	83	186	1990–2001(12	1990–2001(12	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	187	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	83	188	11,588	11,588	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	189	22.2	22.2	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	190	0.001	0.001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	191	1.05	1.05	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	192	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	193	3–4	3–4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	194	1.4	1.4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	195	All	all	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	83	196	black	black	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	197	1990–2001(12	1990–2001(12	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	198	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	83	199	1,542	1,542	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	200	22.1	22.1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	201	0.084	0.084	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	202	1.11	1.11	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	203	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	204	2–4	2–4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	205	1.5	1.5	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	206	All	all	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	83	207	Hispanics	Hispanics	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	83	208	1990–2001(12	1990–2001(12	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	209	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	83	210	1,837	1,837	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	211	8.00	8.00	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	212	0.001	0.001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	213	1.19	1.19	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	214	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	215	6–9	6–9	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	216	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	83	217	11	11	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	218	1.6	1.6	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	219	Black	black	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	220	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	83	221	female	female	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	222	1990–2001(12	1990–2001(12	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	223	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	83	224	848	848	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	225	22.8	22.8	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	226	0.027	0.027	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	227	1.16	1.16	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	228	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	229	2–4	2–4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	230	1.8	1.8	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	231	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	232	females	female	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	83	233	1990–2001(12	1990–2001(12	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	234	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	83	235	729	729	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	236	6.8	6.8	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	237	0.001	0.001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	238	1.19	1.19	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	239	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	240	6–8	6–8	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	83	241	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	83	242	11	11	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	243	1.9	1.9	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	244	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	245	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	83	246	1990–2001(12	1990–2001(12	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	247	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	83	248	1,062	1,062	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	249	9.3	9.3	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	250	0.001	0.001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	251	1.21	1.21	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	252	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	83	253	6–9,11	6–9,11	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	254	1.12	1.12	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	255	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	83	256	Excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	257	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	258	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	259	defined	define	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	260	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	261	up	up	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	262	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	83	263	50	50	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	264	%	%	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	265	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	266	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	267	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	268	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	83	269	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	270	temporal	temporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	271	persistence	persistence	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	272	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	273	up	up	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	274	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	83	275	90	90	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	83	276	%	%	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	277	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	278	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	83	279	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	280	years	year	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	83	281	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	83	282	including	include	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	83	283	purely	purely	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	83	284	spatial	spatial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	285	clusters	cluster	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	83	286	adjusting	adjust	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	83	287	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	288	temporal	temporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	83	289	effect	effect	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	83	290	nonparametrically	nonparametrically	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	83	291	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	84	1	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	84	2	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	84	3	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	84	4	Public	Public	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	84	5	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	84	6	Region	Region	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	84	7	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	84	8	defined	define	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	84	9	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	84	10	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	84	11	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	84	12	Department	Department	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	84	13	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	84	14	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	84	15	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	84	16	Human	Human	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	84	17	Services	Services	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	84	18	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	85	1	http://www.hhs.state.tx.us/aboutHHS/HHS_regions.shtml	http://www.hhs.state.tx.us/aboutHHS/HHS_regions.shtml	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	85	2	Hsu	Hsu	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	85	3	et	et	FW
work_tkpzrp2tejhdlphbue3jgfbe5y	85	4	al	al	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	85	5	•	•	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	85	6	Surveillance	Surveillance	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	85	7	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	85	8	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	85	9	Colorectal	Colorectal	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	85	10	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	85	11	Disparities	Disparities	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	85	12	Among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	85	13	Demographic	Demographic	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	85	14	Subgroups	Subgroups	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	85	15	952	952	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	85	16	©	©	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	85	17	2006	2006	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	85	18	Southern	Southern	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	85	19	Medical	Medical	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	85	20	Association	Association	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	85	21	ity	ity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	85	22	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	85	23	8	8	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	85	24	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	85	25	presented	present	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	85	26	persistent	persistent	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	85	27	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	85	28	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	85	29	through	through	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	85	30	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	85	31	;	;	:
work_tkpzrp2tejhdlphbue3jgfbe5y	85	32	seven	seven	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	85	33	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	85	34	them	-PRON-	PRP
work_tkpzrp2tejhdlphbue3jgfbe5y	85	35	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	85	36	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	85	37	SMR	smr	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	85	38	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	85	39	less	less	JJR
work_tkpzrp2tejhdlphbue3jgfbe5y	85	40	than	than	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	85	41	1.2	1.2	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	85	42	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	85	43	thus	thus	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	85	44	negligi-	negligi-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	85	45	ble	ble	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	85	46	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	85	47	except	except	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	85	48	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	85	49	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	85	50	one	one	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	85	51	which	which	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	85	52	occurred	occur	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	85	53	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	85	54	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	85	55	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	85	56	all	all	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	85	57	males	males	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	85	58	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	85	59	group	group	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	85	60	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	85	61	described	describe	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	85	62	above	above	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	85	63	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	85	64	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	85	65	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	85	66	3	3	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	85	67	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	85	68	4	4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	85	69	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	85	70	7	7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	85	71	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	86	1	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	2	terms	term	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	86	3	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	4	disparity	disparity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	5	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	6	gender	gender	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	7	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	86	8	between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	9	1990	1990	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	10	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	86	11	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	12	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	86	13	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	86	14	fe-	fe-	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	15	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	86	16	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	17	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	86	18	6	6	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	19	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	20	9	9	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	21	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	86	22	11	11	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	23	were	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	24	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	25	1.19	1.19	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	26	SMR	SMR	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	86	27	compared	compare	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	28	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	29	those	those	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	86	30	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	31	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	86	32	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	86	33	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	86	34	while	while	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	35	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	86	36	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	37	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	86	38	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	39	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	40	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	41	only	only	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	86	42	6.8/100,000	6.8/100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	43	;	;	:
work_tkpzrp2tejhdlphbue3jgfbe5y	86	44	non	non	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	86	45	-	-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	86	46	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	86	47	white	white	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	86	48	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	86	49	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	50	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	86	51	2	2	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	52	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	53	3	3	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	54	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	86	55	7	7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	56	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	86	57	9	9	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	58	had	have	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	59	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	86	60	highest	high	JJS
work_tkpzrp2tejhdlphbue3jgfbe5y	86	61	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	86	62	RR	RR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	86	63	�	�	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	86	64	1.33	1.33	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	65	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	86	66	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	67	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	68	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	69	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	86	70	28.6/100,000	28.6/100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	71	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	86	72	between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	73	1997	1997	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	74	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	86	75	1999	1999	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	76	that	that	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	86	77	demonstrated	demonstrate	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	86	78	statistical	statistical	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	86	79	signifi-	signifi-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	80	cance	cance	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	86	81	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	87	1	Figure	figure	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	87	2	1	1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	87	3	presents	present	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	87	4	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	87	5	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	87	6	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	87	7	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	87	8	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	87	9	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	87	10	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	87	11	gender	gender	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	87	12	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	87	13	demographic	demographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	87	14	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	87	15	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	88	1	Discussion	Discussion	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	88	2	This	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	88	3	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	88	4	presents	present	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	88	5	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	88	6	overall	overall	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	88	7	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	88	8	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	88	9	trend	trend	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	88	10	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	88	11	outlines	outline	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	88	12	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	88	13	specific	specific	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	88	14	geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	88	15	variations	variation	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	88	16	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	88	17	demo-	demo-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	88	18	Fig	fig	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	88	19	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	89	1	1	1	LS
work_tkpzrp2tejhdlphbue3jgfbe5y	89	2	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	89	3	continued	continue	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	89	4	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	89	5	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	90	1	Fig	fig	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	90	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	91	1	1	1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	91	2	Potential	potential	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	91	3	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	91	4	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	91	5	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	91	6	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	91	7	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	91	8	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	91	9	public	public	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	91	10	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	91	11	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	91	12	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	91	13	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	91	14	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	91	15	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	91	16	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	91	17	1990	1990	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	91	18	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	91	19	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	91	20	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	92	1	CME	CME	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	92	2	Topic	Topic	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	92	3	Southern	Southern	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	92	4	Medical	Medical	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	92	5	Journal	Journal	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	92	6	•	•	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	92	7	Volume	volume	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	92	8	99	99	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	92	9	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	92	10	Number	number	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	92	11	9	9	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	92	12	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	92	13	September	September	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	92	14	2006	2006	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	92	15	953	953	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	92	16	graphic	graphic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	92	17	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	92	18	over	over	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	92	19	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	92	20	extended	extended	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	92	21	period	period	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	92	22	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	93	1	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	93	2	terms	term	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	93	3	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	93	4	over-	over-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	93	5	all	all	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	93	6	trend	trend	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	93	7	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	93	8	between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	93	9	1990	1990	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	93	10	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	93	11	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	93	12	there	there	EX
work_tkpzrp2tejhdlphbue3jgfbe5y	93	13	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	93	14	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	93	15	pronounced	pronounced	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	93	16	variation	variation	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	93	17	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	93	18	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	93	19	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	93	20	gender	gender	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	93	21	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	94	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	94	2	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	94	3	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	94	4	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	94	5	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	94	6	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	94	7	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	94	8	females	female	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	94	9	increased	increase	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	94	10	significantly	significantly	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	94	11	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	94	12	16.1/100,000	16.1/100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	94	13	—	—	:
work_tkpzrp2tejhdlphbue3jgfbe5y	94	14	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	94	15	increase	increase	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	94	16	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	94	17	33	33	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	94	18	%	%	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	94	19	when	when	WRB
work_tkpzrp2tejhdlphbue3jgfbe5y	94	20	compared	compare	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	94	21	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	94	22	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	94	23	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	94	24	based	base	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	94	25	on	on	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	94	26	1984	1984	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	94	27	-	-	SYM
work_tkpzrp2tejhdlphbue3jgfbe5y	94	28	1996	1996	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	94	29	data	datum	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	94	30	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	94	31	12.18	12.18	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	94	32	per	per	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	94	33	100,000	100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	94	34	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	94	35	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	94	36	while	while	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	94	37	that	that	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	94	38	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	94	39	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	94	40	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	94	41	somewhat	somewhat	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	94	42	reduced	reduce	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	94	43	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	94	44	17.00	17.00	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	94	45	versus	versus	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	94	46	17.64	17.64	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	94	47	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	94	48	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	95	1	This	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	95	2	suggests	suggest	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	95	3	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	95	4	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	95	5	disparities	disparity	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	95	6	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	95	7	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	95	8	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	95	9	trend	trend	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	95	10	between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	95	11	females	female	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	95	12	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	95	13	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	95	14	continued	continue	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	95	15	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	96	1	While	while	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	96	2	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	96	3	still	still	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	96	4	have	have	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	96	5	high	high	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	96	6	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	96	7	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	96	8	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	96	9	gap	gap	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	96	10	appears	appear	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	96	11	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	96	12	have	have	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	96	13	narrowed	narrow	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	96	14	over	over	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	96	15	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	96	16	recent	recent	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	96	17	years	year	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	96	18	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	97	1	This	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	97	2	could	could	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	97	3	possibly	possibly	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	97	4	reflect	reflect	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	97	5	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	97	6	secular	secular	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	97	7	or	or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	97	8	cohort	cohort	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	97	9	trend	trend	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	97	10	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	97	11	increased	increase	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	97	12	incidence	incidence	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	97	13	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	97	14	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	97	15	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	97	16	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	97	17	females	female	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	97	18	from	from	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	97	19	environmen-	environmen-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	97	20	tal	tal	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	97	21	/	/	SYM
work_tkpzrp2tejhdlphbue3jgfbe5y	97	22	dietary	dietary	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	97	23	causes	cause	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	97	24	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	97	25	reduced	reduce	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	97	26	screening	screening	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	97	27	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	97	28	females	female	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	97	29	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	97	30	or	or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	97	31	both	both	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	97	32	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	98	1	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	98	2	contrast	contrast	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	98	3	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	98	4	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	98	5	races	race	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	98	6	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	98	7	non	non	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	98	8	-	-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	98	9	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	98	10	white	white	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	98	11	female	female	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	98	12	mor-	mor-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	98	13	tality	tality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	98	14	increased	increase	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	98	15	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	98	16	68	68	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	98	17	%	%	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	98	18	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	98	19	comparison	comparison	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	98	20	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	98	21	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	98	22	1970	1970	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	98	23	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	98	24	1994	1994	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	98	25	period	period	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	98	26	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	98	27	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	98	28	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	98	29	blacks	black	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	98	30	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	98	31	14.4	14.4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	98	32	%	%	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	98	33	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	98	34	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	98	35	same	same	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	98	36	period	period	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	98	37	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	99	1	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	99	2	addi-	addi-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	99	3	tion	tion	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	99	4	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	99	5	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	99	6	all	all	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	99	7	race	race	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	99	8	/	/	SYM
work_tkpzrp2tejhdlphbue3jgfbe5y	99	9	ethnicity	ethnicity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	99	10	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	99	11	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	99	12	only	only	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	99	13	females	female	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	99	14	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	99	15	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	99	16	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	99	17	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	99	18	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	99	19	category	category	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	99	20	exceeded	exceed	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	99	21	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	99	22	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	99	23	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	99	24	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	99	25	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	99	26	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	99	27	mortal-	mortal-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	99	28	ity	ity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	99	29	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	99	30	;	;	:
work_tkpzrp2tejhdlphbue3jgfbe5y	99	31	however	however	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	99	32	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	99	33	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	99	34	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	99	35	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	99	36	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	99	37	detected	detect	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	99	38	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	99	39	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	99	40	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	99	41	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	99	42	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	99	43	group	group	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	99	44	were	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	99	45	not	not	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	99	46	statistically	statistically	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	99	47	significant	significant	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	99	48	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	100	1	Consistent	consistent	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	100	2	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	100	3	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	100	4	results	result	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	100	5	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	100	6	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	100	7	previous	previous	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	100	8	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	100	9	examining	examine	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	100	10	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	100	11	data	datum	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	100	12	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	100	13	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	100	14	counties,10	counties,10	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	100	15	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	100	16	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	100	17	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	100	18	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	100	19	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	100	20	group	group	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	100	21	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	100	22	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	100	23	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	100	24	ad-	ad-	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	100	25	justed	juste	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	100	26	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	100	27	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	100	28	female	female	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	100	29	�	�	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	100	30	61.3/100,000	61.3/100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	100	31	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	100	32	male	male	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	100	33	�	�	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	100	34	440.4/	440.4/	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	100	35	100,000	100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	100	36	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	100	37	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	100	38	SMR	SMR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	100	39	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	100	40	female	female	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	100	41	�	�	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	100	42	13.00	13.00	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	100	43	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	100	44	male	male	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	100	45	�	�	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	100	46	106	106	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	100	47	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	100	48	were	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	100	49	artificially	artificially	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	100	50	inflated	inflate	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	100	51	due	due	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	100	52	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	100	53	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	100	54	small	small	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	100	55	denominators	denominator	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	100	56	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	100	57	both	both	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	100	58	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	100	59	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	100	60	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	101	1	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	101	2	terms	term	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	101	3	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	101	4	geotemporal	geotemporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	101	5	distribution	distribution	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	101	6	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	101	7	several	several	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	101	8	PHRs	phr	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	101	9	pre-	pre-	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	101	10	sented	sente	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	101	11	persistent	persistent	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	101	12	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	101	13	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	101	14	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	101	15	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	101	16	through	through	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	101	17	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	101	18	present	present	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	101	19	decade	decade	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	101	20	affecting	affect	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	101	21	multiple	multiple	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	101	22	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	101	23	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	101	24	notably	notably	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	101	25	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	101	26	Pub-	Pub-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	101	27	lic	lic	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	101	28	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	101	29	Region	Region	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	101	30	3	3	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	101	31	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	101	32	4	4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	101	33	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	101	34	6	6	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	101	35	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	101	36	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	101	37	7	7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	101	38	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	101	39	which	which	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	101	40	includes	include	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	101	41	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	101	42	Dallas-	Dallas-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	101	43	Fort	Fort	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	101	44	Worth	Worth	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	101	45	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	101	46	Houston	Houston	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	101	47	metropolitan	metropolitan	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	101	48	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	101	49	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	102	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	102	2	results	result	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	102	3	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	4	this	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	102	5	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	6	confirmed	confirm	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	102	7	most	most	JJS
work_tkpzrp2tejhdlphbue3jgfbe5y	102	8	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	9	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	102	10	previ-	previ-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	11	ously	ously	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	102	12	reported	report	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	102	13	areas	area	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	102	14	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	15	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	102	16	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	102	17	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	18	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	19	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	102	20	Southwest	Southwest	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	102	21	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	102	22	Gulf	Gulf	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	102	23	Coast	Coast	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	102	24	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	102	25	part	part	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	26	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	27	Central	Central	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	102	28	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	102	29	PHRs	PHRs	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	102	30	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	102	31	Kauff-	Kauff-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	102	32	man	man	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	33	County	County	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	102	34	between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	35	1990	1990	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	102	36	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	102	37	1997.11	1997.11	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	102	38	We	-PRON-	PRP
work_tkpzrp2tejhdlphbue3jgfbe5y	102	39	found	find	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	102	40	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	41	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	42	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	102	43	Southwest	Southwest	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	102	44	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	102	45	Gulf	Gulf	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	102	46	Coast	Coast	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	102	47	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	102	48	part	part	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	49	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	50	Central	Central	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	102	51	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	102	52	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	102	53	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	102	54	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	102	55	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	102	56	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	57	primarily	primarily	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	102	58	affected	affect	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	102	59	both	both	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	102	60	male	male	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	102	61	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	102	62	female	female	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	102	63	non-	non-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	64	black	black	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	102	65	populations	population	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	102	66	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	102	67	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	102	68	confirmed	confirm	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	102	69	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	70	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	102	71	trend	trend	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	72	discontinued	discontinue	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	73	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	102	74	1997	1997	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	102	75	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	103	1	On	on	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	103	2	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	103	3	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	103	4	hand	hand	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	103	5	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	103	6	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	103	7	Kauffman	Kauffman	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	103	8	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	103	9	neighboring	neighboring	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	103	10	counties	county	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	103	11	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	103	12	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	103	13	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	103	14	primarily	primarily	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	103	15	affected	affect	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	103	16	non	non	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	103	17	-	-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	103	18	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	103	19	females	female	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	103	20	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	103	21	black	black	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	103	22	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	103	23	through	through	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	103	24	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	103	25	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	104	1	This	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	104	2	excess	excess	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	104	3	also	also	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	104	4	in-	in-	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	104	5	volved	volve	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	104	6	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	104	7	North	North	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	104	8	Metroplex	Metroplex	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	104	9	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	104	10	Upper	Upper	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	104	11	East	East	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	104	12	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	104	13	PHRs	PHRs	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	104	14	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	104	15	affecting	affect	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	104	16	both	both	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	104	17	non	non	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	104	18	-	-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	104	19	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	104	20	white	white	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	104	21	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	104	22	black	black	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	104	23	females	female	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	104	24	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	104	25	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	104	26	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	104	27	trend	trend	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	104	28	persisting	persist	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	104	29	between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	104	30	1990	1990	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	104	31	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	104	32	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	104	33	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	105	1	Compared	compare	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	105	2	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	105	3	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	105	4	findings	finding	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	105	5	based	base	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	105	6	on	on	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	105	7	1980	1980	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	105	8	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	105	9	1990	1990	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	105	10	data,8	data,8	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	105	11	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	105	12	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	105	13	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	105	14	affecting	affect	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	105	15	black	black	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	105	16	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	105	17	might	may	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	105	18	have	have	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	105	19	ceased	cease	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	105	20	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	105	21	1996	1996	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	105	22	because	because	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	105	23	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	105	24	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	105	25	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	105	26	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	105	27	this	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	105	28	group	group	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	105	29	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	105	30	no	no	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	105	31	longer	long	RBR
work_tkpzrp2tejhdlphbue3jgfbe5y	105	32	statistically	statistically	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	105	33	sig-	sig-	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	105	34	nificant	nificant	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	105	35	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	106	1	On	on	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	106	2	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	106	3	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	106	4	hand	hand	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	106	5	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	106	6	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	106	7	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	106	8	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	106	9	detected	detect	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	106	10	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	106	11	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	106	12	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	106	13	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	106	14	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	106	15	South	South	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	106	16	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	106	17	Lower	low	JJR
work_tkpzrp2tejhdlphbue3jgfbe5y	106	18	South	South	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	106	19	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	106	20	PHRs	phr	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	106	21	reported	report	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	106	22	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	106	23	Cooper	Cooper	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	106	24	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	106	25	colleagues8	colleagues8	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	106	26	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	106	27	found	find	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	106	28	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	106	29	have	have	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	106	30	persisted	persist	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	106	31	between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	106	32	1990	1990	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	106	33	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	106	34	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	106	35	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	106	36	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	106	37	moderate	moderate	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	106	38	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	106	39	statisti-	statisti-	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	106	40	cally	cally	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	106	41	significant	significant	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	106	42	level	level	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	106	43	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	106	44	RR	RR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	106	45	�	�	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	106	46	1.21	1.21	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	106	47	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	106	48	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	106	49	this	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	106	50	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	106	51	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	107	1	Ongoing	ongoing	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	107	2	monitoring	monitoring	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	107	3	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	107	4	preventive	preventive	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	107	5	interventions	intervention	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	107	6	are	be	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	107	7	warranted	warrant	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	107	8	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	107	9	avoid	avoid	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	107	10	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	107	11	temporal	temporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	107	12	trend	trend	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	107	13	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	107	14	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	107	15	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	107	16	from	from	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	107	17	continuing	continue	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	107	18	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	108	1	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	108	2	addition	addition	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	108	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	108	4	this	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	108	5	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	108	6	further	further	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	108	7	confirms	confirm	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	108	8	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	108	9	finding	finding	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	108	10	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	108	11	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	108	12	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	108	13	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	108	14	Data	Data	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	108	15	Center5	Center5	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	108	16	regarding	regard	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	108	17	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	108	18	identification	identification	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	108	19	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	108	20	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	108	21	4	4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	108	22	PHRs	phr	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	108	23	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	108	24	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	108	25	highest	high	JJS
work_tkpzrp2tejhdlphbue3jgfbe5y	108	26	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	108	27	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	108	28	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	108	29	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	108	30	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	108	31	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	108	32	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	109	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	109	2	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	109	3	detected	detect	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	109	4	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	109	5	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	109	6	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	109	7	are	be	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	109	8	prime	prime	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	109	9	targets	target	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	109	10	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	109	11	additional	additional	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	109	12	demographic	demographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	109	13	studies	study	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	109	14	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	109	15	identify	identify	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	109	16	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	109	17	disparities	disparity	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	109	18	related	relate	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	109	19	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	109	20	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	109	21	care	care	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	109	22	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	109	23	access	access	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	109	24	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	109	25	quality	quality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	109	26	colo-	colo-	.
work_tkpzrp2tejhdlphbue3jgfbe5y	109	27	rectal	rectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	109	28	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	109	29	preventive	preventive	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	109	30	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	109	31	treatment	treatment	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	109	32	services	service	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	109	33	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	110	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	110	2	findings	finding	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	110	3	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	110	4	this	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	110	5	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	110	6	may	may	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	110	7	inform	inform	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	110	8	agencies	agency	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	110	9	such	such	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	110	10	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	110	11	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	110	12	State	State	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	110	13	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	110	14	Council	Council	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	110	15	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	110	16	as	as	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	110	17	well	well	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	110	18	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	110	19	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	110	20	advocacy	advocacy	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	110	21	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	110	22	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	110	23	developing	develop	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	110	24	strategic	strategic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	110	25	planning	planning	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	110	26	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	110	27	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	110	28	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	110	29	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	111	1	These	these	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	111	2	findings	finding	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	111	3	are	be	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	111	4	significant	significant	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	111	5	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	111	6	current	current	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	111	7	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	111	8	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	111	9	consistent	consistent	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	111	10	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	111	11	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	111	12	studies	study	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	111	13	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	111	14	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	111	15	therefore	therefore	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	111	16	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	111	17	may	may	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	111	18	provide	provide	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	111	19	insight	insight	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	111	20	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	111	21	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	111	22	development	development	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	111	23	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	111	24	inter-	inter-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	111	25	ventions	vention	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	111	26	that	that	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	111	27	intend	intend	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	111	28	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	111	29	address	address	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	111	30	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	111	31	disparities	disparity	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	111	32	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	111	33	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	111	34	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	111	35	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	111	36	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	111	37	demographic	demographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	111	38	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	111	39	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	112	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	112	2	spatial	spatial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	112	3	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	112	4	temporal	temporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	112	5	analysis	analysis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	112	6	method	method	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	112	7	has	have	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	112	8	been	be	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	112	9	employed	employ	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	112	10	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	112	11	investigate	investigate	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	112	12	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	112	13	disease	disease	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	112	14	incidence	incidence	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	112	15	or	or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	112	16	mortality14	mortality14	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	112	17	–	–	:
work_tkpzrp2tejhdlphbue3jgfbe5y	112	18	16	16	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	112	19	which	which	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	112	20	may	may	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	112	21	provide	provide	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	112	22	directions	direction	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	112	23	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	112	24	advancing	advance	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	112	25	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	112	26	prevention	prevention	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	112	27	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	112	28	control	control	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	112	29	poli-	poli-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	112	30	cies	cie	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	112	31	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	113	1	This	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	113	2	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	113	3	renders	render	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	113	4	several	several	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	113	5	research	research	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	113	6	questions	question	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	113	7	that	that	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	113	8	war-	war-	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	113	9	rant	rant	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	113	10	further	further	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	113	11	discussion	discussion	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	113	12	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	114	1	First	first	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	114	2	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	114	3	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	114	4	potential	potential	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	114	5	problem	problem	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	114	6	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	114	7	data	datum	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	114	8	re-	re-	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	114	9	liability	liability	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	114	10	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	114	11	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	114	12	change	change	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	114	13	from	from	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	114	14	ICD-9-CM	icd-9-cm	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	114	15	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	114	16	ICD-10-CM	ICD-10-CM	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	114	17	codes	code	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	114	18	implemented	implement	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	114	19	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	114	20	1999	1999	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	114	21	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	115	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	115	2	literature	literature	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	3	has	have	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	115	4	suggested	suggest	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	5	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	6	changes	change	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	115	7	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	8	coding	code	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	115	9	practices	practice	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	115	10	due	due	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	11	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	12	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	115	13	transition	transition	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	14	has	have	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	115	15	inevita-	inevita-	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	115	16	bly	bly	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	115	17	introduced	introduce	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	18	under-	under-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	115	19	or	or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	115	20	over	over	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	21	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	115	22	representation	representation	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	23	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	24	cases	case	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	115	25	or	or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	115	26	counts	count	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	115	27	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	28	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	115	29	extent	extent	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	30	that	that	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	115	31	may	may	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	115	32	bias	bias	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	115	33	research	research	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	34	results.19,20	results.19,20	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	115	35	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	36	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	115	37	present	present	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	115	38	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	39	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	115	40	ICD-9	ICD-9	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	115	41	codes	code	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	115	42	only	only	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	115	43	included	include	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	115	44	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	115	45	data	datum	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	115	46	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	115	47	while	while	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	48	ICD-10	icd-10	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	115	49	codes	code	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	115	50	included	include	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	115	51	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	52	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	53	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	115	54	colon	colon	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	55	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	115	56	rectum	rectum	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	57	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	115	58	anus	anus	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	59	;	;	:
work_tkpzrp2tejhdlphbue3jgfbe5y	115	60	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	61	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	62	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	115	63	rectosigmoid	rectosigmoid	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	115	64	junction	junction	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	65	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	115	66	rectum	rectum	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	67	;	;	:
work_tkpzrp2tejhdlphbue3jgfbe5y	115	68	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	115	69	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	70	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	71	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	115	72	anus	anus	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	73	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	115	74	anal	anal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	115	75	canal	canal	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	115	76	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	116	1	One	one	PRP
work_tkpzrp2tejhdlphbue3jgfbe5y	116	2	may	may	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	116	3	expect	expect	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	116	4	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	116	5	more	more	RBR
work_tkpzrp2tejhdlphbue3jgfbe5y	116	6	inclusive	inclusive	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	116	7	cancers	cancer	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	116	8	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	116	9	be	be	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	116	10	reported	report	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	116	11	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	116	12	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	116	13	ICD	ICD	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	116	14	10	10	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	116	15	codes	code	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	116	16	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	116	17	which	which	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	116	18	may	may	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	116	19	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	116	20	turn	turn	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	116	21	result	result	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	116	22	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	116	23	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	116	24	detection	detection	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	116	25	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	116	26	relative	relative	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	116	27	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	116	28	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	116	29	after	after	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	116	30	1999	1999	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	116	31	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	117	1	However	however	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	117	2	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	117	3	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	117	4	results	result	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	117	5	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	6	our	-PRON-	PRP$
work_tkpzrp2tejhdlphbue3jgfbe5y	117	7	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	8	suggest	suggest	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	117	9	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	10	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	117	11	changes	change	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	117	12	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	13	coding	code	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	117	14	did	do	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	117	15	not	not	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	117	16	shift	shift	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	117	17	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	117	18	temporal	temporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	117	19	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	20	trend	trend	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	21	toward	toward	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	22	1999	1999	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	117	23	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	117	24	after	after	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	25	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	117	26	because	because	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	27	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	28	comparison	comparison	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	29	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	30	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	117	31	periods	period	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	117	32	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	117	33	no	no	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	117	34	substantial	substantial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	117	35	increase	increase	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	36	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	37	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	38	occurred	occur	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	117	39	begin-	begin-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	117	40	ning	ning	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	41	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	42	1999	1999	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	117	43	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	117	44	or	or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	117	45	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	46	between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	117	47	1999	1999	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	117	48	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	117	49	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	117	50	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	118	1	Second	second	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	118	2	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	118	3	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	118	4	present	present	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	118	5	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	118	6	introduces	introduce	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	118	7	spatiotemporal	spatiotemporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	118	8	anal-	anal-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	118	9	ysis	ysis	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	118	10	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	118	11	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	118	12	attempt	attempt	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	118	13	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	118	14	quantify	quantify	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	118	15	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	118	16	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	118	17	disparities	disparity	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	118	18	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	118	19	focus	focus	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	118	20	intervention	intervention	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	118	21	efforts	effort	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	118	22	on	on	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	118	23	targeted	targeted	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	118	24	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	118	25	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	118	26	popula-	popula-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	118	27	tions	tion	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	118	28	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	119	1	By	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	119	2	doing	do	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	119	3	so	so	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	119	4	it	-PRON-	PRP
work_tkpzrp2tejhdlphbue3jgfbe5y	119	5	prompts	prompt	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	119	6	additional	additional	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	119	7	research	research	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	119	8	questions	question	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	119	9	that	that	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	119	10	warrant	warrant	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	119	11	further	further	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	119	12	clarification	clarification	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	119	13	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	120	1	For	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	120	2	example	example	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	120	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	120	4	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	120	5	determine	determine	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	120	6	potential	potential	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	120	7	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	120	8	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	120	9	that	that	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	120	10	may	may	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	120	11	warrant	warrant	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	120	12	preventive	preventive	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	120	13	inter-	inter-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	120	14	ventions	vention	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	120	15	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	120	16	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	120	17	present	present	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	120	18	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	120	19	focused	focus	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	120	20	on	on	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	120	21	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	120	22	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	120	23	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	120	24	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	120	25	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	120	26	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	120	27	statistical	statistical	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	120	28	significance	significance	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	120	29	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	120	30	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	120	31	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	120	32	high	high	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	120	33	SMR	SMR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	120	34	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	120	35	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	120	36	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	120	37	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	120	38	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	120	39	that	that	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	120	40	persisted	persist	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	120	41	through	through	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	120	42	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	120	43	most	most	RBS
work_tkpzrp2tejhdlphbue3jgfbe5y	120	44	recent	recent	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	120	45	years	year	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	120	46	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	121	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	121	2	addition	addition	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	121	3	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	121	4	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	121	5	temporal	temporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	121	6	dimension	dimension	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	121	7	has	have	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	121	8	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	121	9	strengthening	strengthen	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	121	10	effect	effect	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	121	11	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	121	12	smoothing	smooth	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	121	13	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	121	14	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	121	15	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	121	16	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	121	17	cluster	cluster	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	121	18	over	over	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	121	19	time	time	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	121	20	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	121	21	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	121	22	could	could	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	121	23	give	give	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	121	24	clues	clue	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	121	25	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	121	26	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	121	27	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	121	28	etiology	etiology	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	121	29	or	or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	121	30	long	long	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	121	31	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	121	32	term	term	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	121	33	risk	risk	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	121	34	factors	factor	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	121	35	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	122	1	On	on	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	122	2	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	122	3	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	122	4	hand	hand	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	122	5	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	122	6	this	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	122	7	approach	approach	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	122	8	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	122	9	quantifying	quantify	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	122	10	colo-	colo-	.
work_tkpzrp2tejhdlphbue3jgfbe5y	122	11	rectal	rectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	122	12	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	122	13	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	122	14	burden	burden	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	122	15	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	122	16	though	though	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	122	17	adequate	adequate	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	122	18	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	122	19	this	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	122	20	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	122	21	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	122	22	does	do	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	122	23	not	not	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	122	24	provide	provide	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	122	25	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	122	26	precise	precise	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	122	27	quantification	quantification	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	122	28	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	122	29	disparities	disparity	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	122	30	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	123	1	Future	future	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	123	2	research	research	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	3	could	could	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	123	4	seek	seek	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	123	5	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	123	6	model	model	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	123	7	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	123	8	disparity	disparity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	9	burden	burden	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	10	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	11	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	123	12	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	13	example	example	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	14	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	123	15	developing	develop	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	123	16	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	123	17	composite	composite	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	123	18	index	index	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	19	that	that	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	123	20	combines	combine	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	123	21	several	several	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	123	22	Hsu	Hsu	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	123	23	et	et	FW
work_tkpzrp2tejhdlphbue3jgfbe5y	123	24	al	al	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	123	25	•	•	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	123	26	Surveillance	Surveillance	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	123	27	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	28	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	123	29	Colorectal	Colorectal	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	123	30	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	123	31	Disparities	Disparities	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	123	32	Among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	33	Demographic	Demographic	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	123	34	Subgroups	Subgroups	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	123	35	954	954	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	123	36	©	©	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	123	37	2006	2006	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	123	38	Southern	Southern	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	123	39	Medical	Medical	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	123	40	Association	Association	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	123	41	measurements	measurement	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	123	42	such	such	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	123	43	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	44	SMR	SMR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	123	45	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	123	46	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	47	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	48	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	123	49	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	123	50	duration	duration	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	51	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	52	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	123	53	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	54	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	123	55	better	well	RBR
work_tkpzrp2tejhdlphbue3jgfbe5y	123	56	quantify	quantify	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	123	57	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	123	58	magnitude	magnitude	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	59	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	60	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	123	61	dispar-	dispar-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	62	ities	itie	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	123	63	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	64	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	123	65	multivariate	multivariate	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	123	66	context	context	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	123	67	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	124	1	Third	third	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	124	2	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	124	3	further	further	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	124	4	analysis	analysis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	124	5	should	should	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	124	6	be	be	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	124	7	conducted	conduct	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	124	8	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	124	9	at-	at-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	124	10	risk	risk	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	124	11	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	124	12	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	124	13	identified	identify	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	124	14	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	124	15	this	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	124	16	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	124	17	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	124	18	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	124	19	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	124	20	literature	literature	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	124	21	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	125	1	For	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	125	2	example	example	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	125	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	125	4	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	125	5	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	125	6	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	125	7	Council	Council	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	125	8	has	have	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	125	9	re-	re-	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	125	10	ported	port	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	125	11	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	125	12	more	more	JJR
work_tkpzrp2tejhdlphbue3jgfbe5y	125	13	than	than	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	125	14	90	90	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	125	15	%	%	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	125	16	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	125	17	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	125	18	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	125	19	patients	patient	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	125	20	were	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	125	21	diagnosed	diagnose	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	125	22	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	125	23	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	125	24	50	50	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	125	25	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	125	26	older	old	JJR
work_tkpzrp2tejhdlphbue3jgfbe5y	125	27	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	126	1	Incidence	incidence	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	2	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	126	3	are	be	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	126	4	six	six	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	126	5	times	time	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	126	6	higher	high	JJR
work_tkpzrp2tejhdlphbue3jgfbe5y	126	7	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	8	persons	person	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	126	9	aged	age	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	10	65	65	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	126	11	years	year	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	126	12	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	126	13	older	old	JJR
work_tkpzrp2tejhdlphbue3jgfbe5y	126	14	than	than	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	15	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	16	those	those	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	126	17	aged	age	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	18	50	50	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	126	19	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	126	20	64	64	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	126	21	years	year	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	126	22	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	126	23	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	126	24	more	more	JJR
work_tkpzrp2tejhdlphbue3jgfbe5y	126	25	than	than	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	26	70	70	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	126	27	%	%	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	28	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	29	all	all	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	126	30	newly	newly	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	126	31	diag-	diag-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	126	32	nosed	nosed	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	126	33	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	126	34	cancers	cancer	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	126	35	occurred	occur	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	126	36	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	37	persons	person	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	126	38	aged	age	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	39	65	65	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	126	40	years	year	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	126	41	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	126	42	older.3	older.3	SYM
work_tkpzrp2tejhdlphbue3jgfbe5y	126	43	Therefore	therefore	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	126	44	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	126	45	additional	additional	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	126	46	analysis	analysis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	47	may	may	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	126	48	be	be	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	126	49	directed	direct	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	50	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	51	these	these	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	126	52	high	high	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	126	53	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	126	54	risk	risk	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	55	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	56	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	126	57	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	126	58	determine	determine	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	126	59	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	126	60	magnitude	magnitude	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	61	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	126	62	spatial	spatial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	126	63	distribution	distribution	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	64	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	65	both	both	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	126	66	incidence	incidence	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	67	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	126	68	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	69	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	70	colo-	colo-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	126	71	rectal	rectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	126	72	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	126	73	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	127	1	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	2	addition	addition	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	127	4	although	although	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	5	this	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	127	6	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	7	did	do	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	127	8	not	not	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	127	9	find	find	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	127	10	any	any	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	127	11	hot	hot	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	127	12	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	127	13	spot	spot	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	14	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	127	15	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	16	region	region	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	17	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	127	18	ie	ie	FW
work_tkpzrp2tejhdlphbue3jgfbe5y	127	19	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	127	20	those	those	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	127	21	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	22	SMR	SMR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	127	23	�	�	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	127	24	2.0	2.0	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	127	25	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	127	26	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	127	27	further	further	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	127	28	studies	study	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	127	29	should	should	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	127	30	be	be	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	127	31	conducted	conduct	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	32	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	127	33	explore	explore	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	127	34	how	how	WRB
work_tkpzrp2tejhdlphbue3jgfbe5y	127	35	policy	policy	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	36	changes	change	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	127	37	or	or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	127	38	new	new	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	127	39	screening	screening	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	40	or	or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	127	41	treatment	treatment	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	42	methods	method	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	127	43	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	44	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	127	45	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	46	may	may	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	127	47	affect	affect	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	127	48	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	127	49	disease	disease	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	50	distribution	distribution	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	51	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	52	populations	population	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	127	53	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	127	54	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	127	55	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	56	turn	turn	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	57	affect	affect	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	127	58	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	127	59	geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	127	60	distribution	distribution	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	61	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	62	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	127	63	mor-	mor-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	64	tality	tality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	127	65	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	128	1	For	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	128	2	example	example	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	128	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	128	4	Medicare	Medicare	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	128	5	has	have	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	128	6	covered	cover	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	128	7	some	some	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	128	8	screening	screening	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	128	9	tests	test	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	128	10	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	128	11	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	128	12	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	128	13	since	since	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	128	14	1998	1998	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	128	15	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	128	16	but	but	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	128	17	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	128	18	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	128	19	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	128	20	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	128	21	it	-PRON-	PRP
work_tkpzrp2tejhdlphbue3jgfbe5y	128	22	has	have	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	128	23	covered	cover	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	128	24	all	all	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	128	25	recommended	recommend	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	128	26	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	128	27	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	128	28	screening	screening	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	128	29	tests	test	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	128	30	through	through	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	128	31	Part	Part	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	128	32	B	B	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	128	33	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	128	34	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	128	35	program	program	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	128	36	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	128	37	which	which	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	128	38	covers	cover	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	128	39	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	128	40	65	65	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	128	41	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	128	42	older	old	JJR
work_tkpzrp2tejhdlphbue3jgfbe5y	128	43	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	128	44	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	129	1	Further	further	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	129	2	studies	study	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	129	3	may	may	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	129	4	examine	examine	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	129	5	recent	recent	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	129	6	data	datum	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	129	7	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	129	8	ex-	ex-	XX
work_tkpzrp2tejhdlphbue3jgfbe5y	129	9	plore	plore	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	129	10	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	129	11	effect	effect	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	129	12	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	129	13	screening	screen	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	129	14	coverage	coverage	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	129	15	on	on	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	129	16	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	129	17	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	129	18	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	129	19	demographic	demographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	129	20	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	129	21	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	130	1	Fourth	fourth	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	130	2	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	130	3	efforts	effort	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	130	4	should	should	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	130	5	be	be	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	130	6	directed	direct	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	130	7	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	130	8	study	study	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	130	9	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	130	10	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	130	11	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	130	12	de-	de-	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	130	13	mographic	mographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	130	14	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	130	15	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	131	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	131	2	present	present	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	131	3	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	131	4	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	131	5	consistent	consistent	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	131	6	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	131	7	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	131	8	literature	literature	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	131	9	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	131	10	found	find	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	131	11	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	131	12	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	131	13	generally	generally	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	131	14	have	have	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	131	15	higher	high	JJR
work_tkpzrp2tejhdlphbue3jgfbe5y	131	16	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	131	17	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	131	18	than	than	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	131	19	females	female	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	131	20	across	across	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	131	21	most	most	JJS
work_tkpzrp2tejhdlphbue3jgfbe5y	131	22	race	race	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	131	23	/	/	SYM
work_tkpzrp2tejhdlphbue3jgfbe5y	131	24	ethnicity	ethnicity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	131	25	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	131	26	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	131	27	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	131	28	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	131	29	exception	exception	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	131	30	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	131	31	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	131	32	females	female	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	131	33	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	131	34	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	131	35	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	131	36	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	131	37	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	131	38	racial	racial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	131	39	category	category	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	131	40	which	which	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	131	41	exceeded	exceed	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	131	42	males	male	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	131	43	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	131	44	terms	term	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	131	45	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	131	46	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	131	47	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	131	48	adjusted	adjust	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	131	49	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	131	50	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	132	1	This	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	132	2	may	may	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	132	3	suggest	suggest	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	132	4	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	132	5	females	female	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	132	6	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	132	7	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	132	8	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	132	9	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	132	10	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	132	11	category	category	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	132	12	experience	experience	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	132	13	additional	additional	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	132	14	barriers	barrier	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	132	15	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	132	16	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	132	17	care	care	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	132	18	access	access	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	132	19	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	133	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	133	2	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	133	3	federal	federal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	133	4	stan-	stan-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	133	5	dards	dard	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	133	6	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	133	7	maintaining	maintaining	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	133	8	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	133	9	collecting	collecting	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	133	10	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	133	11	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	133	12	presenting	present	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	133	13	federal	federal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	133	14	data	datum	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	133	15	on	on	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	133	16	race	race	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	133	17	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	133	18	ethnicity	ethnicity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	133	19	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	133	20	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	133	21	OMB	OMB	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	133	22	Statistical	Statistical	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	133	23	Directive	Directive	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	133	24	15	15	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	133	25	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	133	26	pro-	pro-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	133	27	vides	vide	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	133	28	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	133	29	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	133	30	collection	collection	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	133	31	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	133	32	reporting	reporting	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	133	33	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	133	34	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	133	35	data	datum	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	133	36	by	by	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	133	37	6	6	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	133	38	races21	races21	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	133	39	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	133	40	including	include	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	133	41	American	American	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	133	42	Indian	Indian	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	133	43	or	or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	133	44	Alaska	Alaska	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	133	45	Native	Native	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	133	46	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	133	47	Asian	asian	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	133	48	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	133	49	black	black	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	133	50	or	or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	133	51	African	african	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	133	52	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	133	53	American	american	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	133	54	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	133	55	Native	Native	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	133	56	Hawaiian	Hawaiian	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	133	57	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	133	58	Pacific	Pacific	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	133	59	Is-	Is-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	133	60	lander	lander	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	133	61	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	133	62	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	133	63	white	white	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	133	64	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	133	65	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	133	66	two	two	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	133	67	ethnicities	ethnicity	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	133	68	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	133	69	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	133	70	or	or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	133	71	Latino	latino	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	133	72	versus	versus	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	133	73	non	non	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	133	74	-	-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	133	75	Hispanic	hispanic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	133	76	or	or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	133	77	Latino	latino	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	133	78	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	133	79	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	134	1	Misclassification	misclassification	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	2	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	3	race	race	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	4	/	/	SYM
work_tkpzrp2tejhdlphbue3jgfbe5y	134	5	eth-	eth-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	6	nicity	nicity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	7	may	may	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	134	8	account	account	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	134	9	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	10	some	some	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	134	11	persons	person	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	134	12	being	be	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	134	13	categorized	categorize	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	14	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	15	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	134	16	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	134	17	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	134	18	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	134	19	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	20	which	which	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	134	21	case	case	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	22	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	134	23	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	24	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	134	25	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	26	correctly	correctly	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	134	27	cate-	cate-	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	134	28	gorized	gorize	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	29	race	race	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	30	/	/	SYM
work_tkpzrp2tejhdlphbue3jgfbe5y	134	31	ethnicities	ethnicity	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	134	32	may	may	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	134	33	be	be	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	134	34	over-	over-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	134	35	or	or	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	134	36	underestimated	underestimate	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	37	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	134	38	al-	al-	XX
work_tkpzrp2tejhdlphbue3jgfbe5y	134	39	though	though	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	40	how	how	WRB
work_tkpzrp2tejhdlphbue3jgfbe5y	134	41	this	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	134	42	affects	affect	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	134	43	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	134	44	detection	detection	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	45	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	46	clusters	cluster	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	134	47	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	134	48	ie	ie	UH
work_tkpzrp2tejhdlphbue3jgfbe5y	134	49	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	134	50	relative	relative	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	134	51	rates	rate	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	134	52	between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	134	53	racial	racial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	134	54	/	/	SYM
work_tkpzrp2tejhdlphbue3jgfbe5y	134	55	ethnic	ethnic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	134	56	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	134	57	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	134	58	remains	remain	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	134	59	unclear	unclear	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	134	60	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	135	1	Misclas-	Misclas-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	135	2	sification	sification	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	135	3	can	can	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	135	4	come	come	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	135	5	from	from	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	135	6	two	two	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	135	7	sources	source	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	135	8	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	135	9	census	census	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	135	10	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	135	11	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	135	12	registry	registry	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	135	13	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	136	1	State	state	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	136	2	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	136	3	reporting	report	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	136	4	authorities	authority	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	136	5	should	should	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	136	6	seek	seek	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	136	7	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	136	8	dis-	dis-	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	136	9	aggregate	aggregate	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	136	10	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	136	11	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	136	12	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	136	13	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	136	14	category	category	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	136	15	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	136	16	include	include	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	136	17	those	those	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	136	18	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	136	19	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	136	20	not	not	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	136	21	otherwise	otherwise	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	136	22	included	include	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	136	23	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	137	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	137	2	disaggregation	disaggregation	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	137	3	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	137	4	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	137	5	“	"	``
work_tkpzrp2tejhdlphbue3jgfbe5y	137	6	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	137	7	”	"	''
work_tkpzrp2tejhdlphbue3jgfbe5y	137	8	group	group	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	137	9	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	137	10	data	datum	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	137	11	may	may	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	137	12	be	be	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	137	13	particularly	particularly	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	137	14	urgent	urgent	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	137	15	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	137	16	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	137	17	Asian	asian	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	137	18	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	137	19	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	137	20	which	which	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	137	21	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	137	22	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	137	23	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	137	24	fastest	fast	JJS
work_tkpzrp2tejhdlphbue3jgfbe5y	137	25	growing	grow	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	137	26	sub-	sub-	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	137	27	group	group	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	137	28	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	137	29	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	137	30	U.S.	U.S.	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	137	31	according	accord	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	137	32	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	137	33	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	137	34	Census	Census	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	137	35	2000	2000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	137	36	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	137	37	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	137	38	is	be	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	137	39	con-	con-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	137	40	fronting	front	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	137	41	many	many	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	137	42	clear	clear	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	137	43	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	137	44	present	present	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	137	45	epidemic	epidemic	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	137	46	challenges	challenge	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	137	47	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	138	1	Conclusion	conclusion	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	138	2	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	138	3	findings	finding	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	138	4	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	138	5	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	138	6	total	total	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	138	7	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	138	8	group	group	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	138	9	were	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	138	10	rela-	rela-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	138	11	tively	tively	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	138	12	consistent	consistent	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	138	13	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	138	14	previous	previous	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	138	15	studies	study	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	138	16	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	138	17	that	that	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	138	18	most	most	JJS
work_tkpzrp2tejhdlphbue3jgfbe5y	138	19	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	138	20	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	138	21	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	138	22	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	138	23	was	be	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	138	24	identified	identify	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	138	25	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	138	26	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	138	27	Southeast	Southeast	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	138	28	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	138	29	around	around	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	138	30	Har-	Har-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	138	31	ris	ris	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	138	32	County	County	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	138	33	encompassing	encompass	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	138	34	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	138	35	city	city	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	138	36	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	138	37	Houston	Houston	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	138	38	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	138	39	region	region	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	138	40	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	138	41	Metroplex	Metroplex	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	138	42	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	138	43	around	around	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	138	44	Dallas	Dallas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	138	45	County	County	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	138	46	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	138	47	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	138	48	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	138	49	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	139	1	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	139	2	addition	addition	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	139	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	139	4	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	139	5	present	present	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	139	6	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	139	7	identified	identify	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	139	8	several	several	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	139	9	regions	region	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	139	10	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	139	11	potential	potential	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	139	12	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	139	13	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	139	14	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	139	15	racial	racial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	139	16	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	139	17	that	that	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	139	18	have	have	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	139	19	not	not	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	139	20	been	be	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	139	21	previously	previously	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	139	22	reported	report	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	139	23	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	140	1	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	140	2	particular	particular	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	140	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	140	4	several	several	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	140	5	demographic	demographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	140	6	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	140	7	warrant	warrant	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	140	8	particular	particular	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	140	9	notice	notice	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	140	10	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	140	11	including	include	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	140	12	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	140	13	male	male	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	140	14	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	140	15	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	140	16	PHR	PHR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	140	17	3	3	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	140	18	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	140	19	4	4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	140	20	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	140	21	7	7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	140	22	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	140	23	RR	RR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	140	24	�	�	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	140	25	1.45	1.45	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	140	26	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	140	27	rate	rate	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	140	28	�	�	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	140	29	24.7/100,000	24.7/100,000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	140	30	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	140	31	between	between	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	140	32	2000	2000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	140	33	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	140	34	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	140	35	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	140	36	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	140	37	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	140	38	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	140	39	other	other	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	140	40	7	7	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	140	41	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	140	42	subgroups	subgroup	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	140	43	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	140	44	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	140	45	mor-	mor-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	140	46	tality	tality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	140	47	trends	trend	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	140	48	persisting	persist	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	140	49	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	140	50	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	140	51	present	present	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	140	52	decade	decade	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	140	53	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	141	1	In	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	141	2	addition	addition	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	141	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	141	4	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	141	5	multiple	multiple	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	141	6	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	141	7	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	141	8	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	141	9	Public	Public	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	141	10	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	141	11	Regions	Regions	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	141	12	3	3	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	141	13	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	141	14	4	4	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	141	15	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	141	16	6	6	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	141	17	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	141	18	9	9	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	141	19	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	141	20	11	11	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	141	21	have	have	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	141	22	experienced	experience	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	141	23	persistent	persistent	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	141	24	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	141	25	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	141	26	over	over	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	141	27	time	time	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	141	28	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	141	29	which	which	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	141	30	warrants	warrant	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	141	31	further	further	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	141	32	investigation	investigation	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	141	33	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	142	1	Overall	overall	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	142	2	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	142	3	this	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	142	4	study	study	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	142	5	provides	provide	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	142	6	evidence	evidence	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	142	7	that	that	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	142	8	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	142	9	spatiotemporal	spatiotemporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	142	10	analysis	analysis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	142	11	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	142	12	differ-	differ-	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	142	13	entiation	entiation	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	142	14	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	142	15	excess	excess	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	142	16	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	142	17	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	142	18	age	age	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	142	19	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	142	20	gender	gender	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	142	21	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	142	22	race/	race/	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	142	23	ethnic	ethnic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	142	24	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	142	25	constitutes	constitute	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	142	26	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	142	27	potentially	potentially	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	142	28	relevant	relevant	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	142	29	method	method	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	142	30	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	142	31	public	public	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	142	32	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	142	33	planning	planning	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	142	34	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	142	35	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	142	36	disparities	disparity	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	142	37	studies	study	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	142	38	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	143	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	143	2	find-	find-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	143	3	ings	ing	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	143	4	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	143	5	demographic	demographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	143	6	disparities	disparity	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	143	7	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	143	8	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	143	9	disease	disease	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	143	10	may	may	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	143	11	assist	assist	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	143	12	state	state	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	143	13	health	health	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	143	14	authorities	authority	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	143	15	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	143	16	updating	update	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	143	17	their	-PRON-	PRP$
work_tkpzrp2tejhdlphbue3jgfbe5y	143	18	action	action	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	143	19	plans	plan	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	143	20	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	143	21	as	as	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	143	22	they	-PRON-	PRP
work_tkpzrp2tejhdlphbue3jgfbe5y	143	23	are	be	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	143	24	both	both	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	143	25	significant	significant	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	143	26	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	143	27	current	current	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	143	28	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	144	1	The	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	144	2	spatiotemporal	spatiotemporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	144	3	analysis	analysis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	4	should	should	MD
work_tkpzrp2tejhdlphbue3jgfbe5y	144	5	be	be	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	144	6	considered	consider	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	7	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	8	developing	develop	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	144	9	prevention	prevention	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	10	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	144	11	interven-	interven-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	144	12	tion	tion	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	13	programs	program	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	144	14	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	15	addressing	address	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	144	16	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	144	17	demographic	demographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	144	18	disparities	disparity	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	144	19	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	20	colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	144	21	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	22	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	23	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	144	24	given	give	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	25	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	144	26	limited	limited	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	144	27	resources	resource	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	144	28	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	144	29	in-	in-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	144	30	creased	crease	VBD
work_tkpzrp2tejhdlphbue3jgfbe5y	144	31	racial	racial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	144	32	/	/	SYM
work_tkpzrp2tejhdlphbue3jgfbe5y	144	33	ethnic	ethnic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	144	34	diversity	diversity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	35	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	144	36	aging	aging	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	37	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	38	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	144	39	population	population	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	40	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	41	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	144	42	state	state	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	43	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	44	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	144	45	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	144	46	with	with	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	47	which	which	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	144	48	to	to	TO
work_tkpzrp2tejhdlphbue3jgfbe5y	144	49	confront	confront	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	144	50	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	144	51	disproportional	disproportional	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	144	52	burden	burden	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	53	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	54	this	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	144	55	disease	disease	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	144	56	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	145	1	References	reference	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	145	2	1	1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	145	3	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	146	1	American	American	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	146	2	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	146	3	Society	Society	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	146	4	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	147	1	Overview	overview	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	147	2	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	147	3	Colon	colon	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	147	4	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	147	5	Rectum	Rectum	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	147	6	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	147	7	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	148	1	How	how	WRB
work_tkpzrp2tejhdlphbue3jgfbe5y	148	2	Many	many	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	148	3	People	People	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	148	4	Get	get	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	148	5	Colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	148	6	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	148	7	(	(	-LRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	148	8	online	online	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	148	9	)	)	-RRB-
work_tkpzrp2tejhdlphbue3jgfbe5y	148	10	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	149	1	Available	available	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	149	2	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	149	3	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	149	4	http://www	http://www	ADD
work_tkpzrp2tejhdlphbue3jgfbe5y	149	5	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	150	1	cancer.org/docroot/CRI/content/CRI_2_2_1X_How_Many_People	cancer.org/docroot/CRI/content/CRI_2_2_1X_How_Many_People	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	150	2	_	_	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	150	3	Get_Colorectal_Cancer.asp	get_colorectal_cancer.asp	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	150	4	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	151	1	Accessed	Accessed	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	151	2	August	August	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	151	3	1	1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	151	4	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	151	5	2005	2005	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	151	6	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	152	1	2	2	LS
work_tkpzrp2tejhdlphbue3jgfbe5y	152	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	153	1	Centers	center	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	153	2	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	153	3	Disease	Disease	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	153	4	Control	Control	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	153	5	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	153	6	Prevention	Prevention	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	153	7	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	154	1	Colorectal	colorectal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	154	2	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	154	3	test	test	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	154	4	use	use	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	154	5	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	154	6	persons	person	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	154	7	aged	age	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	154	8	�	�	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	154	9	50	50	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	154	10	years	year	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	154	11	—	—	:
work_tkpzrp2tejhdlphbue3jgfbe5y	154	12	United	United	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	154	13	States	States	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	154	14	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	154	15	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	154	16	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	155	1	MMWR	MMWR	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	155	2	Morb	Morb	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	155	3	Mortal	Mortal	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	155	4	Wkly	Wkly	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	155	5	Rep	Rep	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	155	6	2003;52:193–196	2003;52:193–196	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	155	7	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	156	1	3	3	LS
work_tkpzrp2tejhdlphbue3jgfbe5y	156	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	157	1	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	157	2	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	157	3	Council	Council	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	157	4	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	158	1	Action	action	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	158	2	Plan	Plan	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	158	3	on	on	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	158	4	Colorectal	Colorectal	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	158	5	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	158	6	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	158	7	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	158	8	State	State	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	158	9	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	158	10	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	158	11	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	158	12	2000	2000	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	158	13	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	159	1	Available	available	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	159	2	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	159	3	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	159	4	http://www.tcc.state.tx.us/colonplan/index	http://www.tcc.state.tx.us/colonplan/index	ADD
work_tkpzrp2tejhdlphbue3jgfbe5y	159	5	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	160	1	html	html	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	160	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	161	1	Accessed	Accessed	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	161	2	August	August	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	161	3	1	1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	161	4	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	161	5	2005	2005	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	161	6	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	162	1	4	4	LS
work_tkpzrp2tejhdlphbue3jgfbe5y	162	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	163	1	American	American	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	163	2	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	163	3	Society	Society	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	163	4	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	163	5	Facts	Facts	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	163	6	&	&	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	163	7	Figures	Figures	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	163	8	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	163	9	2004	2004	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	163	10	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	163	11	A	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	163	12	Sourcebook	Sourcebook	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	163	13	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	163	14	Planning	planning	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	163	15	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	163	16	Implementing	Implementing	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	163	17	Programs	Programs	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	163	18	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	163	19	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	163	20	Prevention	Prevention	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	163	21	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	163	22	Control	Control	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	163	23	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	164	1	Available	available	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	164	2	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	164	3	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	164	4	http://www.cancer.org/docroot/COM/content/	http://www.cancer.org/docroot/COM/content/	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	164	5	div_TX	div_tx	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	164	6	/	/	SYM
work_tkpzrp2tejhdlphbue3jgfbe5y	164	7	COM_12x_Texas_Facts_and_Figures_2002	COM_12x_Texas_Facts_and_Figures_2002	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	164	8	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	164	9	2003.asp	2003.asp	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	164	10	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	165	1	Accessed	Accessed	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	165	2	August	August	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	165	3	1	1	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	165	4	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	165	5	2005	2005	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	165	6	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	166	1	5	5	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	166	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	167	1	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	167	2	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	167	3	Data	Data	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	167	4	Center	Center	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	167	5	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	168	1	Impact	impact	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	168	2	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	168	3	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	168	4	on	on	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	168	5	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	168	6	Sixth	Sixth	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	168	7	Edition	Edition	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	168	8	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	169	1	Available	available	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	169	2	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	169	3	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	169	4	http://www.tcc.state.tx.us/impact/pg83b_2.html	http://www.tcc.state.tx.us/impact/pg83b_2.html	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	169	5	Accessed	Accessed	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	169	6	July	July	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	169	7	10	10	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	169	8	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	169	9	2005	2005	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	169	10	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	170	1	6	6	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	170	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	171	1	US	US	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	171	2	National	National	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	171	3	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	171	4	Institute	Institute	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	171	5	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	172	1	Surveillance	surveillance	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	172	2	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	172	3	Epidemiology	Epidemiology	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	172	4	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	172	5	End	End	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	172	6	Re-	Re-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	172	7	sults	sult	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	172	8	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	173	1	Available	available	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	173	2	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	173	3	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	173	4	http://seer.cancer.gov	http://seer.cancer.gov	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	173	5	Accessed	Accessed	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	173	6	July	July	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	173	7	10	10	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	173	8	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	173	9	2005	2005	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	173	10	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	174	1	7	7	LS
work_tkpzrp2tejhdlphbue3jgfbe5y	174	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	175	1	US	US	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	175	2	National	National	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	175	3	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	175	4	Institute	Institute	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	175	5	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	176	1	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	176	2	Mortality	Mortality	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	176	3	Maps	Maps	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	176	4	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	176	5	Graphs	Graphs	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	176	6	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	177	1	Avail-	avail-	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	177	2	able	able	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	177	3	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	177	4	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	177	5	http://cancercontrolplanet.cancer.gov/atlas	http://cancercontrolplanet.cancer.gov/atlas	ADD
work_tkpzrp2tejhdlphbue3jgfbe5y	177	6	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	178	1	Accessed	Accessed	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	178	2	July	July	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	178	3	10	10	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	178	4	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	178	5	2005	2005	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	178	6	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	179	1	CME	CME	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	179	2	Topic	Topic	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	179	3	Southern	Southern	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	179	4	Medical	Medical	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	179	5	Journal	Journal	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	179	6	•	•	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	179	7	Volume	volume	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	179	8	99	99	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	179	9	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	179	10	Number	number	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	179	11	9	9	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	179	12	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	179	13	September	September	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	179	14	2006	2006	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	179	15	955	955	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	179	16	8	8	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	179	17	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	179	18	Cooper	Cooper	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	179	19	SP	SP	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	179	20	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	179	21	Sigurdson	Sigurdson	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	179	22	A	A	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	179	23	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	179	24	Labarthe	Labarthe	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	179	25	D	D	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	179	26	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	179	27	et	et	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	179	28	al	al	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	179	29	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	180	1	Assessing	assess	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	180	2	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	180	3	burden	burden	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	180	4	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	180	5	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	180	6	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	180	7	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	180	8	using	use	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	180	9	vital	vital	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	180	10	statistics	statistic	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	180	11	data	datum	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	180	12	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	181	1	South	South	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	181	2	Med	Med	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	181	3	J	J	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	181	4	1998;91:173–181	1998;91:173–181	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	181	5	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	182	1	9	9	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	182	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	183	1	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	183	2	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	183	3	Registry	Registry	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	183	4	Online	Online	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	183	5	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	184	1	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	184	2	Mortality	Mortality	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	184	3	Data	Data	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	184	4	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	185	1	Available	available	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	185	2	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	185	3	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	185	4	http://www.dshs.state.tx.us/default/shtm	http://www.dshs.state.tx.us/default/shtm	.
work_tkpzrp2tejhdlphbue3jgfbe5y	185	5	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	186	1	Accessed	Accessed	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	186	2	February	February	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	186	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	186	4	2004	2004	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	186	5	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	187	1	10	10	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	187	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	188	1	Hsu	Hsu	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	188	2	C	C	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	188	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	188	4	Jacobson	Jacobson	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	188	5	H	H	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	188	6	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	188	7	Soto	Soto	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	188	8	Mas	Mas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	188	9	F.	F.	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	188	10	Evaluating	evaluate	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	188	11	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	188	12	disparity	disparity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	188	13	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	188	14	female	female	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	188	15	breast	breast	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	188	16	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	188	17	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	188	18	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	188	19	racial	racial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	188	20	groups	group	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	188	21	—	—	:
work_tkpzrp2tejhdlphbue3jgfbe5y	188	22	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	188	23	spatiotemporal	spatiotemporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	188	24	analysis	analysis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	188	25	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	189	1	Int	Int	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	189	2	J	J	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	189	3	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	189	4	Geogr	Geogr	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	189	5	2004;3:4	2004;3:4	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	189	6	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	190	1	11	11	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	190	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	191	1	Zhan	Zhan	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	191	2	FB	FB	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	191	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	191	4	Lin	Lin	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	191	5	H.	H.	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	191	6	Geographic	Geographic	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	191	7	patterns	pattern	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	191	8	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	191	9	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	191	10	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	191	11	clusters	cluster	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	191	12	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	191	13	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	191	14	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	191	15	1990	1990	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	191	16	to	to	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	191	17	1997	1997	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	191	18	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	192	1	Tex	Tex	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	192	2	Med	Med	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	192	3	2003;99:58–64	2003;99:58–64	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	192	4	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	193	1	12	12	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	193	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	194	1	Zhan	Zhan	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	194	2	FB	FB	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	194	3	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	195	1	Are	be	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	195	2	deaths	death	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	195	3	from	from	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	195	4	liver	liver	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	195	5	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	195	6	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	195	7	kidney	kidney	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	195	8	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	195	9	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	195	10	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	195	11	leukemia	leukemia	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	195	12	clustered	cluster	VBN
work_tkpzrp2tejhdlphbue3jgfbe5y	195	13	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	195	14	San	San	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	195	15	Antonio	Antonio	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	195	16	?	?	.
work_tkpzrp2tejhdlphbue3jgfbe5y	196	1	Tex	Tex	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	196	2	Med	Med	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	196	3	2002;98:51–56	2002;98:51–56	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	196	4	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	197	1	13	13	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	197	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	198	1	Kulldorff	Kulldorff	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	198	2	M	M	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	198	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	198	4	Athas	Athas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	198	5	WF	WF	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	198	6	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	198	7	Feurer	Feurer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	198	8	EJ	EJ	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	198	9	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	198	10	et	et	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	198	11	al	al	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	198	12	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	199	1	Evaluating	evaluate	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	199	2	cluster	cluster	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	199	3	alarms	alarm	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	199	4	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	199	5	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	199	6	space	space	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	199	7	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	199	8	time	time	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	199	9	scan	scan	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	199	10	statistic	statistic	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	199	11	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	199	12	brain	brain	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	199	13	cancer	cancer	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	199	14	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	199	15	Los	Los	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	199	16	Alamos	Alamos	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	199	17	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	199	18	New	New	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	199	19	Mexico	Mexico	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	199	20	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	200	1	Am	Am	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	200	2	J	J	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	200	3	Public	Public	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	200	4	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	200	5	1998;88:1377–1380	1998;88:1377–1380	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	200	6	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	201	1	14	14	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	201	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	202	1	Green	Green	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	202	2	C	C	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	202	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	202	4	Hoppa	Hoppa	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	202	5	RD	RD	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	202	6	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	202	7	Young	Young	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	202	8	TK	TK	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	202	9	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	202	10	et	et	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	202	11	al	al	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	202	12	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	203	1	Geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	203	2	analysis	analysis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	203	3	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	203	4	diabetes	diabetes	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	203	5	prevalence	prevalence	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	203	6	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	203	7	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	203	8	urban	urban	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	203	9	area	area	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	203	10	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	204	1	Soc	Soc	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	204	2	Sci	Sci	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	204	3	Med	Med	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	204	4	2003;57:551–560	2003;57:551–560	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	204	5	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	205	1	15	15	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	205	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	206	1	Hanson	Hanson	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	206	2	CE	CE	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	206	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	206	4	Wieczorek	Wieczorek	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	206	5	WF	WF	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	206	6	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	207	1	Alcohol	alcohol	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	207	2	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	207	3	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	207	4	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	207	5	comparison	comparison	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	207	6	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	207	7	spatial	spatial	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	207	8	clustering	clustering	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	207	9	methods	method	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	207	10	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	208	1	Soc	Soc	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	208	2	Sci	Sci	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	208	3	Med	Med	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	208	4	2002;55:791–802	2002;55:791–802	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	208	5	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	209	1	16	16	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	209	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	210	1	Green	Green	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	210	2	C	C	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	210	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	210	4	Hoppa	Hoppa	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	210	5	RD	RD	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	210	6	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	210	7	Young	Young	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	210	8	TK	TK	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	210	9	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	210	10	et	et	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	210	11	al	al	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	210	12	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	211	1	Geographic	geographic	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	211	2	analysis	analysis	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	211	3	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	211	4	diabetes	diabetes	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	211	5	prevalence	prevalence	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	211	6	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	211	7	an	an	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	211	8	urban	urban	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	211	9	area	area	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	211	10	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	212	1	Soc	Soc	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	212	2	Sci	Sci	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	212	3	Med	Med	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	212	4	2003;57:551–560	2003;57:551–560	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	212	5	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	213	1	17	17	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	213	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	214	1	Nkhoma	Nkhoma	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	214	2	ET	ET	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	214	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	214	4	Hsu	Hsu	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	214	5	CE	CE	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	214	6	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	214	7	Hunt	Hunt	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	214	8	VI	VI	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	214	9	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	214	10	et	et	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	214	11	al	al	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	214	12	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	215	1	Detecting	detect	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	215	2	spatiotemporal	spatiotemporal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	215	3	clusters	cluster	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	215	4	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	215	5	accidental	accidental	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	215	6	poisoning	poisoning	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	215	7	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	215	8	among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	215	9	Texas	Texas	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	215	10	counties	county	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	215	11	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	215	12	U.S.	U.S.	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	215	13	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	215	14	1980-	1980-	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	215	15	2001	2001	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	215	16	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	216	1	Int	Int	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	216	2	J	J	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	216	3	Health	Health	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	216	4	Geogr	Geogr	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	216	5	2004;3:25	2004;3:25	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	216	6	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	217	1	18	18	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	217	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	218	1	Patil	Patil	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	218	2	GP	GP	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	218	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	218	4	Taillie	Taillie	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	218	5	C.	C.	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	218	6	Geographic	Geographic	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	218	7	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	218	8	network	network	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	218	9	surveillance	surveillance	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	218	10	via	via	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	218	11	scan	scan	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	218	12	statistics	statistic	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	218	13	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	218	14	critical	critical	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	218	15	area	area	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	218	16	detection	detection	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	218	17	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	219	1	Statistical	Statistical	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	219	2	Science	Science	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	219	3	2003;18:457–465	2003;18:457–465	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	219	4	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	220	1	Available	available	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	220	2	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	220	3	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	220	4	http://projecteuclid.org/Dienst/UI/1.0/Summarize/euclid	http://projecteuclid.org/dienst/ui/1.0/summarize/euclid	ADD
work_tkpzrp2tejhdlphbue3jgfbe5y	220	5	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	221	1	ss/1081443229	ss/1081443229	:
work_tkpzrp2tejhdlphbue3jgfbe5y	221	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	222	1	19	19	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	222	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	223	1	Lahti	Lahti	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	223	2	RA	RA	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	223	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	223	4	Vuori	Vuori	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	223	5	E.	E.	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	223	6	Fatal	Fatal	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	223	7	drug	drug	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	223	8	poisonings	poisoning	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	223	9	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	223	10	medico	medico	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	223	11	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	223	12	legal	legal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	223	13	reports	report	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	223	14	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	223	15	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	223	16	statistics	statistic	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	223	17	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	224	1	Forensic	Forensic	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	224	2	Sci	Sci	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	224	3	Int	Int	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	224	4	2003;136:35–46	2003;136:35–46	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	224	5	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	225	1	20	20	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	225	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	226	1	Lahti	Lahti	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	226	2	RA	RA	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	226	3	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	226	4	Vuori	Vuori	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	226	5	E.	E.	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	226	6	Fatal	Fatal	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	226	7	alcohol	alcohol	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	226	8	poisoning	poisoning	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	226	9	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	226	10	medico	medico	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	226	11	-	-	HYPH
work_tkpzrp2tejhdlphbue3jgfbe5y	226	12	legal	legal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	226	13	practices	practice	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	226	14	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	226	15	mortality	mortality	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	226	16	statistics	statistic	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	226	17	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	227	1	Forensic	Forensic	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	227	2	Sci	Sci	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	227	3	Int	Int	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	227	4	2002;126:203–209	2002;126:203–209	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	227	5	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	228	1	21	21	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	228	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	229	1	Federal	Federal	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	229	2	Register	Register	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	229	3	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	230	1	OMB	OMB	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	230	2	Statistical	Statistical	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	230	3	Directive	Directive	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	230	4	15	15	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	230	5	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	231	1	Standards	standard	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	231	2	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	231	3	maintain-	maintain-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	231	4	ing	ing	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	231	5	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	231	6	collecting	collecting	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	231	7	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	231	8	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	231	9	presenting	present	VBG
work_tkpzrp2tejhdlphbue3jgfbe5y	231	10	federal	federal	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	231	11	data	datum	NNS
work_tkpzrp2tejhdlphbue3jgfbe5y	231	12	on	on	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	231	13	race	race	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	231	14	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	231	15	ethnicity	ethnicity	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	231	16	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	232	1	Octo-	Octo-	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	232	2	ber	ber	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	232	3	30	30	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	232	4	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	232	5	1997	1997	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	232	6	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	233	1	Available	available	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	233	2	at	at	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	233	3	:	:	:
work_tkpzrp2tejhdlphbue3jgfbe5y	233	4	http://www.doi.gov/diversity/doc/racedata	http://www.doi.gov/diversity/doc/racedata	ADD
work_tkpzrp2tejhdlphbue3jgfbe5y	233	5	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	234	1	htm	htm	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	234	2	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	235	1	Accessed	Accessed	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	235	2	July	July	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	235	3	10	10	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	235	4	,	,	,
work_tkpzrp2tejhdlphbue3jgfbe5y	235	5	2005	2005	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	235	6	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	236	1	Please	please	UH
work_tkpzrp2tejhdlphbue3jgfbe5y	236	2	see	see	VB
work_tkpzrp2tejhdlphbue3jgfbe5y	236	3	James	James	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	236	4	Wooten	Wooten	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	236	5	’s	’s	,
work_tkpzrp2tejhdlphbue3jgfbe5y	236	6	editorial	editorial	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	236	7	on	on	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	236	8	page	page	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	236	9	915	915	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	236	10	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	236	11	this	this	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	236	12	issue	issue	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	236	13	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	237	1	We	-PRON-	PRP
work_tkpzrp2tejhdlphbue3jgfbe5y	237	2	find	find	VBP
work_tkpzrp2tejhdlphbue3jgfbe5y	237	3	a	a	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	237	4	delight	delight	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	237	5	in	in	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	237	6	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	237	7	beauty	beauty	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	237	8	and	and	CC
work_tkpzrp2tejhdlphbue3jgfbe5y	237	9	happiness	happiness	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	237	10	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	237	11	chil-	chil-	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	237	12	dren	dren	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	237	13	that	that	WDT
work_tkpzrp2tejhdlphbue3jgfbe5y	237	14	makes	make	VBZ
work_tkpzrp2tejhdlphbue3jgfbe5y	237	15	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	237	16	heart	heart	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	237	17	too	too	RB
work_tkpzrp2tejhdlphbue3jgfbe5y	237	18	big	big	JJ
work_tkpzrp2tejhdlphbue3jgfbe5y	237	19	for	for	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	237	20	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	237	21	body	body	NN
work_tkpzrp2tejhdlphbue3jgfbe5y	237	22	.	.	.
work_tkpzrp2tejhdlphbue3jgfbe5y	238	1	—	—	:
work_tkpzrp2tejhdlphbue3jgfbe5y	238	2	Ralph	Ralph	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	238	3	Waldo	Waldo	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	238	4	Emerson	Emerson	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	238	5	Hsu	Hsu	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	238	6	et	et	FW
work_tkpzrp2tejhdlphbue3jgfbe5y	238	7	al	al	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	238	8	•	•	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	238	9	Surveillance	Surveillance	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	238	10	of	of	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	238	11	the	the	DT
work_tkpzrp2tejhdlphbue3jgfbe5y	238	12	Colorectal	Colorectal	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	238	13	Cancer	Cancer	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	238	14	Disparities	Disparities	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	238	15	Among	among	IN
work_tkpzrp2tejhdlphbue3jgfbe5y	238	16	Demographic	Demographic	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	238	17	Subgroups	Subgroups	NNPS
work_tkpzrp2tejhdlphbue3jgfbe5y	238	18	956	956	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	238	19	©	©	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	238	20	2006	2006	CD
work_tkpzrp2tejhdlphbue3jgfbe5y	238	21	Southern	Southern	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	238	22	Medical	Medical	NNP
work_tkpzrp2tejhdlphbue3jgfbe5y	238	23	Association	Association	NNP