Population Health Analytic Methods II

3 credits · Graduate

This course will teach students how to use data to make inferences about the effects of different kinds of medical interventions and policies. Topics that are covered include randomized controlled trials, pragmatic trials, counterfactuals, confounding, graphical models, cohort study design, sources of bias, propensity score approaches, instrumental variable methods, sensitivity/bias analysis, methods for studying the effects of treatment policies, generalizability, censored data, and missing data. Open to Population Health Science PhD students.