Exemplary Teaching Materials

This tutorial series introduces core concepts in causal inference through the lens of g-methods, implemented in R. Designed for students and researchers in the social sciences, the series focuses on two key strategies for addressing time-varying confounding: G-computation and Marginal Structural Models (MSMs). Each post walks through methods using reproducible code and simulated-data examples. Full materials are available on GitHub.