Name
..
data
01-Introduction-To-Causality.ipynb
02-Randomised-Experiments.ipynb
03-Stats-Review-The-Most-Dangerous-Equation.ipynb
04-Graphical-Causal-Models.ipynb
05-The-Unreasonable-Effectiveness-of-Linear-Regression.ipynb
06-Grouped-and-Dummy-Regression.ipynb
07-Beyond-Confounders.ipynb
08-Instrumental-Variables.ipynb
09-Non-Compliance-and-LATE.ipynb
10-Matching.ipynb
11-Propensity-Score.ipynb
12-Doubly-Robust-Estimation.ipynb
13-Panel-Data-and-Fixed-Effects.ipynb
14-Difference-in-Difference.ipynb
15-Synthetic-Control.ipynb
16-Regression-Discontinuity-Design.ipynb
17-Predictive-Models-101.ipynb
18-Heterogeneous-Treatment-Effects-and-Personalization.ipynb
19-Evaluating-Causal-Models.ipynb
20-Plug-and-Play-Estimators.ipynb
21-Meta-Learners.ipynb
22-Debiased-Orthogonal-Machine-Learning.ipynb
Debiasing-with-Orthogonalization.ipynb
Debiasing-with-Propensity-Score.ipynb
Prediction-Metrics-For-Causal-Models.ipynb
When-Prediction-Fails.ipynb
_config.yml
_toc.yml
landing-page.md
nb18.py
nb21.py