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.