Applied Epidemiologic Analyses for Causal Inference

2 Credits.

Introduces concepts and applications of potential outcomes and structural causal models for the estimation of causal parameters in epidemiologic research. Familiarizes students with the assumptions underpinning modern causal inference methods and provides a conceptual understanding of standardization/g-computation and inverse probability weighting. Applies each of these methods in estimating the effect of a time-fixed exposure in a simple setting. Discusses the application of these methods in the literature.