Applied Regression Methods

Harvard HSPH

BST 220 is an intermediate, applied biostatistics course in both classic and modern regression methods for the analysis of continuous, binary, polytomous, ordinal, count and survival (time to event) response data. The course covers linear, generalized linear, and survival models, as well as their extensions. The course implements the methods in R, SAS and Stata. Parametric, semi-parametric, non-parametric, additive, and regularized approaches are explored. Missing data methods,…