Draft
Preface
I Causal Inference: An Overview
1 Introduction
2 Correlation and Simpson’s Paradox
3 Randomized Experiment
4 Potential Outcomes Framework
5 Causal Graphical Model
6 Regression-based Methods
II Large Scale Online Controlled Experiments
7 A/B Testing: Beyond Randomized Experiments
8 Statistical Analysis of A/B Tests
9 System Diagnosis and Quality Checks for A/B Tests
10 Improving Metric Sensitivity
- 10.1 Metric Sensitivity Decomposition
- 10.2 Variance Reduction
11 Misc Topics
III Appendix
12 Probability Minimum
- 12.1 probability
  - 12.1.1 Conditional Independence
Alex Deng

Causal Inference and Its Applications in Online Industry

Causal Inference and Its Applications in Online Industry

Alex Deng

2021-05-23

Preface

This is a summary of key concepts in causal inference and its application in online industry. Please send feedback to alexdeng_at_live_dot_com.