9th Summer Institute in Statistics and Modeling in Infectious Diseases

Module 3: Causal Inference

Week 1, Session 1, Monday 8:30 AM - Wednesday 12:00 PM: Mon Jul 10 to Wed Jul 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.