STAT 401 Biostatistics
	Introduction to statistical models applied in the health sciences, with a focus on the estimation and interpretation of odds ratios, risk ratios and hazard ratios. Topics may include contingency tables, binary and ordinal logistic regression, Poisson regression, log-binomial regression, generalized linear models, survival analysis, cox proportional hazards and failure time models; use of computer software such as R.
 Credits
4
	
		Prerequisite
	
STAT 201 or 
STAT 216, or equivalent, or permission of department chair.