Elements of Causal Inference

This book provides a comprehensive introduction to causal inference, covering various methods and techniques for causal analysis.

It delves into the fundamental concepts of causality, including directed acyclic graphs (DAGs) and causal diagrams.

The book also explores advanced topics such as causal discovery, causal effects estimation, and causal mediation analysis.

It is a valuable resource for researchers and practitioners in various fields who want to learn about causal inference.