This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.

CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we

This book is designed to help researchers better design and analyze observational data from quasi-experimental studies and improve the validity of research on c

A comprehensive examination of methods for mediation and interaction, VanderWeele's book is the first to approach this topic from the perspective of causal infe

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and toolsfor understanding statistics, randomness