Causal analysis essentials

Module 4

Topics covered

Recall the essential features of experimental study designs
- Learning the vocabulary of causal analysis
Get a visual intuition of causal pathways, including challenging elements:
- Collider variables
- Confounder variables
- Mediator variables
Discuss the correct causal model to capture the association among exposure, outcome and other covariates, (including challenging ones)
Define causal outcomes and choosing the appropriate “estimands”:
- ATE, ATT, or ATU?
Devise statistical methods to estimate ATE, ATT, and ATU based on research question and (sub)population of interest