4.0

credits

Average Course Rating

Covers regression analysis for continuous and discrete outcome data using generalized linear models including: logistic models for binary responses, log-linear models for incidence rates and contingency tables; and survival analysis for time to event responses. Also covers strategies for formulating regression analyses that effectively address scientific questions. Methods are learned through lectures and multiple problem sets/data analyses abstracted from important public health studies.