Topic: Regression in Observational Studies

Positivity and Covariate Overlap

Model Effect Modification in Observational Data

Find Backdoor Adjustment Sets

Estimate Adjusted Exposure Associations With Regression

Estimate Propensity Scores for Exposure Assignment

Diagnose Outcome-Model Misspecification

Diagnose Overlap Across Covariate Profiles

Distinguish Confounders, Mediators, and Colliders

Draw Causal Diagrams for Observational Questions

Define Exposure Contrasts and Causal Estimands