Theory and applied methods for causal inference in epidemiology. Focus on the potential outcomes model and related methods including inverse probability weights, G-computation, and targeted maximum likelihood estimation. Other contemporary topics may be included. Learning is facilitated through in-class discussion, critical review of peer-reviewed literature, and applied laboratories in R. Prerequisites: EPI 225, EPI 226, and EPI 261 or equivalent (or permission of instructor).
3 units · Medical Option (Med-Ltr-CR/NC)
Theory and applied methods for causal inference in epidemiology. Focus on the potential outcomes model and related methods including inverse probability weights, G-computation, and targeted maximum likelihood estimation. Other contemporary topics may be included. Learning is facilitated through in-class discussion, critical review of peer-reviewed literature, and applied laboratories in R. Prerequisites: EPI 225, EPI 226, and EPI 261 or equivalent (or permission of instructor).
Offered in Autumn 2026 at Stanford University.