| Lecture | Topic | HTML | Source |
|---|---|---|---|
| Lecture 1 | Basics of Causal Inference: Correlation is not Causation | View HTML | Rmd | Interative | Dataset |
| Lecture 2 | Basics of Causal Inference: Inverse Probability Weighting Method | View HTML | Rmd | Interative |
| Lecture 3 | Basics of Causal Inference: Outcome Regression Modelling | View HTML | Rmd | Interative |
| Lecture 4 | Basics of Causal Inference: Doubly Robust Estimation | View HTML | Rmd | Interative |
| Lecture 5 | Basics of Causal Inference: Bootstrap Confidence Intervals and Hypothesis Testing | View HTML | Rmd | Interative |
| Lecture 6 | Basics of Causal Inference: Sensitivity Analysis With E-values | View HTML | Rmd | Interative |
| Material | Topic | HTML | Source |
|---|---|---|---|
| Supplement 1 | Advanced Topic: Hypothesis Testing | View HTML | Rmd | Interative |
| Supplement 2 | Advanced Topic: Logistic Regression | View HTML | Rmd | Interative |
| Supplement 3 | Advanced Topic: Propensity Score | View HTML | Rmd | Interative |
| Supplement 4 | Advanced Topic: Prediction - Basic | View HTML | Rmd |
| Supplement 5 | Advanced Topic: Prediction - Performance Metrics | View HTML | Rmd |
| Supplement 6 | Advanced Topic: Prediction - Nuisance Misspecification in Causal Inference | View HTML | Rmd |
| Supplement 7 | Advanced Topic: Technical Details of the Lecture Course | View HTML | Rmd |
| Supplement 8 | Advanced Topic: Semiparametric Efficiency Lower Bound | View HTML | Rmd |