Causal Inference

Prerequisites

• hardStatistical Inference

  Causal inference methods build directly on statistical estimation, hypothesis testing, and regression to move from correlation to causation

• hardRegression Analysis

  Treatment effect estimation, instrumental variables, and propensity scores are extensions of regression frameworks

• mediumA/B Testing

  Causal inference often addresses cases where controlled experiments are impossible — understanding what A/B tests do helps understand what causal inference replaces

Recommended reference

Notes from AI deep research

Related skills

• → is subcategory of: Statistical Inference(3/3)
• → is part of: Quantitative Research(2/3)