12th Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID)


Module 11: Causal Inference

Session 3: Mon Jul 20 to Wed Jul 22

Module dates/times: Monday, July 20; Tuesday, July 21, and Wednesday, July 22. Live sessions will start no earlier than 8 a.m. Pacific and end no later than 2:30 p.m. Pacific, except for Wednesdays. For modules that end on Wednesday, live sessions will end by 11 a.m. Pacific. For modules that start on Wednesday, live sessions will begin no earlier than 11:30 a.m.

Prerequisites: This module assumes knowledge of the material in Module 1: Probability and Statistical Inference, though not necessarily from taking that module. A working knowledge of R or SAS would be helpful.

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.