Causal Inference in Statistics: A Primer

Judea Pearl, Madelyn Glymour, Nicholas P. Jewell

Mathematics

A concise introductory textbook teaching methods to extract causal information from data. It covers defining causal parameters, expressing causal assumptions mathematically, identifying testable implications, predicting the effects of interventions, and counterfactual reasoning. The book is aimed at students and researchers new to causal inference in statistics.