Course Materials
| Week | Date | Topic | Slides | Extra materials | Due |
|---|---|---|---|---|---|
| 1 | 2024-01-04 | General introduction with four examples | Lecture 1 | Papers listed at the end of slides | — |
| 2 | 2024-01-09 | Potential outcome framework concepts | Lecture 2 | Papers listed at the end of slides | — |
| 2 | 2024-01-11 | Randomized experiment and Fisher’s exact p-value | Lecture 3 | — | — |
| 2 | 2024-01-14 | — | — | — | HW1 due at 11:59pm |
| 3 | 2024-01-16 | Case study with Fisher’s exact p-value | Lecture 4 | R Example to compute Fisher’s exact p-value | — |
| 3 | 2024-01-18 | Neyman’s repeated sampling approach | Lecture 5 | — | — |
| 4 | 2024-01-23 | Regression for complete randomized experiment | Lecture 6 | R Example for regression analysis | — |
| 4 | 2024-01-25 | Stratified randomized experiments | Lecture 7 | — | — |
| 4 | 2024-01-26 | — | — | — | Quiz1 due on Canvas |
| 4 | 2024-01-28 | — | — | — | HW2 due at 11:59pm |
| 5 | 2024-01-30 | post-stratification, pairwise randomized experiment | Lecture 8 | R Example for pairwise randomized experiment | — |
| 5 | 2024-02-01 | Two case studies | Lecture 9 | Case study with R | — |
| 6 | 2024-02-06 | Non-compliance and instrumental variables | Lecture 10 | — | — |
| 6 | 2024-02-08 | Conditional randomized experiment | Lecture 11 | — | — |
| 7 | 2024-02-12 | — | — | — | HW3 due at 11:59pm |
| 7 | 2024-02-13 | Propensity score estimation, trimming, Propensity score stratification | Lecture 12 | Example 1 Example 2 | — |
| 7 | 2024-02-15 | Matching | Lecture 13 | Matching example | — |
| 8 | 2024-02-20 | Inverse probability weighting (IPW) | Lecture 14 | IPW example | — |
| 8 | 2024-02-22 | Doubly robust estimator | Lecture 15 | — | — |
| 8 | 2024-02-23 | — | — | — | Quiz2 due on Canvas |
| 8 | 2024-02-25 | — | — | — | HW4 due at 11:59pm |
| 9 | 2024-02-27 | Assess unconfoundedness, sensitivity analysis | Lecture 16 | — | — |