id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-277173-zdft23q8	Cauchemez, Simon	Methods to infer transmission risk factors in complex outbreak data	2012-03-07		.txt	text/plain	6669	406	59	cases rather than the uninfected, but potentially susceptible bulk of the population, they can say little about the risk factors for infection or provide estimates of transmissibility in different contexts (e.g. households, schools or as a function of distance between a susceptible and an infected individual). We present a relatively generic statistical model for the estimation of transmission risk factors, and discuss algorithms to estimate its parameters for different levels of missing data. We present a relatively generic statistical model for the estimation of transmission risk factors, and discuss algorithms to estimate its parameters for different levels of missing data. For a directly transmitted disease, the first step to estimate transmission risk factors is usually to propose a model for transmission hazard l i!j ðtjQÞ from case i to subject j on day t, i.e. define l i!j ðtjQÞ as a function of the individual covariates z i (t) and z j (t) and a set of parameters Q.	./cache/cord-277173-zdft23q8.txt	./txt/cord-277173-zdft23q8.txt