BIOST 881: Advance Topics in Causal Inference

Lecture Slides

0. Course Overview

1. Introduction and Potential Outcomes

2. DAGs, Confounding, Backdoor Criterion

3. Selection Bias, Non-Compliance, and Measurement Error

4. Effect Modification, Interaction, and Collapsibility

5. The Target Trial

6. IP Weighting and G-Computation

7. More PS Estimators and Double Robustness

9. G-Estimation

10. Machine Learning and TMLE

11. Time-Varying Treatment Part 1

Lecture Slides from Past Years