This module provides an introduction to causal inference. Topics including potential outcomes, directed acyclic graphs, confounding, g-methods, instrumental variables, mediation, principal stratification, and interference will be covered. The methods will be illustrated using infectious disease examples, with analysis carried out in SAS and/or R. Assumes material in Module 1.