Biostatistical Methods for Epidemiology

Catalog description

This one-semester course is designed to provide a strong foundation in biostatistical methods for epidemiologic research, intended for students entering a PhD program in epidemiology. Covered topics include introductory probability theory, estimands, large-sample theory, hypothesis testing, confidence intervals, linear regression, generalized linear models, models for correlated data, and survival analysis, all with a throughline of likelihood-based inference. The course will consist of interactive lectures and labs designed to develop hands-on analytic skills. Prerequisite: Single variable calculus, Prior coursework in statistics at the undergraduate level