9th Summer Institute in Statistics and Modeling in Infectious Diseases


Module 3: Causal Inference

Mon, July 10 to Wed, July 12

Assumes material in Module 1: Probability and Statistical Inference.

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