0. Course Overview
1. Introduction and Potential Outcomes
2. DAGs and Confounding
3. Effect Modification and Interaction
4. Selection Bias
5. Parametric IP Weighting and Standardization
6. Propensity Score Methods
7. G-Estimation
8. Survival
Discussion questions for Hernan et al 2008
9. Time-Varying Treatments
9. Misc
10. IVA
11. Machine Learning
12. Discussion Questions and Wrap-Up