Causal Mediation Analysis

Geoffrey T. Wodtke is a Professor in the Department of Sociology and Committee on Quantitative Methods in Social, Behavioral, and Health Research at the University of Chicago. He is the winner of the 2020 Leo Goodman Award for contributions to sociological methodology from the American Sociological Association. He earned his Ph.D. in sociology from the University of Michigan in 2014, where he also received an MA in statistics. Xiang Zhou is Professor of Sociology at Harvard University, where he is also affiliated with the Institute for Quantitative Social Science and the Harvard Data Science Initiative. He is the winner of the 2022 Leo Goodman Award for contributions to sociological methodology from the American Sociological Association. He earned his PhD in sociology and statistics from the University of Michigan in 2015.

• 1. Introduction; 2. Foundations of causal inference; 3. Mediation analysis with baseline confounding; 4. Mediation analysis with exposure-induced confounding; 5. Mediation analysis with multiple mediators; 6. Mediation analysis with robust estimation methods; 7. Mediation analysis with (Quasi-)experimental methods; 8. The future of causal mediation analysis.

'This book offers a modern view of mediation analysis from the causal inference perspective. It reviews rigorous statistical causal inference theory and methods for mediation analysis. Moreover, it also provides clear motivations and applications of mediation analysis from social sciences. It will soon become a canonical reference for applied researchers who will use mediation analysis for data analysis, and for theoretical researchers who will develop novel statistical methods related to mediation analysis.' Peng Ding, Department of Statistics, University of California Berkeley