This course aims to provide students with the tools to carry out regression analyses involving non-continuous (e.g., binary or count-valued) responses, correlated observations, and censored data.  Topics covered include: generalized linear models (GLM) for non-Gaussian response, mixed-effects models and generalized estimating equations (GEE) for correlated observations, longitudinal data analysis, and Cox proportional hazards models for the analysis of survival time outcomes.  Examples are drawn from public health and the biomedical sciences.