Causal Inference in Statistics: A Primer van Judea Pearl, Madelyn Glymour and Nicholas P. Jewell is an English-language textbook focused on causal inference in statistics. This book covers fundamental methods for extracting cause-and-effect relationships from data and is suitable for professionals and students who want to deepen their understanding of statistical causality.
The book explains in an accessible way how causal parameters can be defined and estimated, what assumptions are involved, and how these are formulated mathematically. It also addresses the predictive power of interventions and counterfactual reasoning. This reference work is relevant for everyone working with probability and statistics and causal inference, and includes examples from medicine, policy, and law.
Judea Pearl thus provides a clear overview of modern methods in causal inference, from basic concepts to practical applications. This makes it a valuable primary textbook in the field of statistics and causality.