| Part 1. Introduction | | |
| 2025-02-18 | 1-1. Introduction to Causal Inference | Part 1-1 |
| 2025-02-25 | 1-2. Counterfactual Framework and Causal Estimands | Part 1-2 |
| 2025-03-04 | 1-3. Assumption and Identification | Part 1-3 |
| Part 2. Randomized Experiments | | |
| 2025-03-11 | 2-1. Treatment Assignment & Experimental Design | Part 2-1 |
| 2025-03-18 | 2-2. Completely Randomized Experiment | Part 2-2 |
| 2025-03-25 | 2-3. Covariate Imbalance in Randomized Experiments | Part 2-3 |
| Part 3. Observational Studies with Measured Confounding | | |
| 2025-04-01 | 3-1. Stratification and Standardization | Part 3-1 (update) |
| 2025-04-01 | 3-1*. Causal Mediation Analysis (Intro) | Part 3-1* |
| 2025-04-15 | 3-2. Weighting and Matching | Part 3-2 (0422update) |
| 2025-04-22 | 3-3. Propensity-Score Methods | Part 3-3 |
| 2025-05-06 | 3-4. Doubly Robust Methods | Part 3-4 |
| Part 4. Observational Studies with Unmeasured Confounding | | |
| 2025-05-06 | 4-1. Front-door Criterion | Part 4-1 |
| 2025-05-06 & 2025-05-13 | 4-2. Difference-in-Differences (DiD) Method | Part 4-2 |
| 2025-05-13 | 4-3. Instrumental Variable | Part 4-3 (0520update) |
| Part 5. Sensitivity Analysis | | |
| 2025-05-20 | 5. Sensitivity Analysis | Part 5 |
| Part 6. Causal Directed Acyclic Graphs (DAGs) | | |
| (Coming soon) | 6-1. DAGs for selection bias and confounding bias | (Coming soon) |
| (Coming soon) | 6-2. DAGs for measurement bias | (Coming soon) |
| (Coming soon) | 6-3. DAGs for interaction and effect modification | (Coming soon) |
| Part 8. Causal Inference for Longitudinal Data | | |
| 2025-05-27 | 8. Causal Inference in Longitudinal and Survival Data | Part 8 |
| Part 9. Multiple mediation analysis | | |
| 2025-06-03 | 9. Multiple mediation analysis | Part 9 |