id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-000540-bbjmcdo5	Hellard, Eléonore	True versus False Parasite Interactions: A Robust Method to Take Risk Factors into Account and Its Application to Feline Viruses	2012-01-03		.txt	text/plain	7597	397	45	By combining logistic regressions and chi-square tests, we are able to calculate the expected frequencies of co-infected individuals if parasites are independent considering their risk factors, and to compare them to the observed ones. The corrected chi-square approach is based on the idea that the coefficients of the logistic regression of the two viruses can be used to estimate the number of seronegative, single-and double-seropositive individuals expected if the two pathogens are independent. The two approaches (corrected chi-square and logistic regression) were used for the analysis of the interactions between four cat viruses ( Table 2) . Correcting for all risk factors, no pair of viruses involving the Feline Immunodeficiency Virus (FIV-FHV, FIV-FCV, FIV-FPV) was significantly associated. Table S1 Corrected chi-square tests and logistic regressions to search for feline viruses' interactions using subsets randomly sampled in cat data such that the N F / n ratio takes various values.	./cache/cord-000540-bbjmcdo5.txt	./txt/cord-000540-bbjmcdo5.txt