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The application of causal inference methods is growing exponentially in fields that deal with observational data. Written by pioneers in the field, this practic

An accessible, contemporary introduction to the methods for determining cause and effect in the Social Sciences “Causation versus correlation has been the bas

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is

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

Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unifi