Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction

This book presents a unified framework to causal inference based on the potential outcomes framework, focusing on the classical analysis of experiments, unconfoundedness, and noncompliance, and introduces a variety of interconnected classical ideas.