Propensity Score Analysis


Edited by Wei Pan and Haiyan Bai

Published by The Guilford Press in April 2015


Sample Chapters

Data and Code

About Authors



To the contributing authors

for their remarkable cooperation

and commitment to the advancement

of propensity score methodology



Contributing Authors


Haiyan Bai, Ph.D., Department of Learning Sciences and Educational Research, University of Central Florida,


Lane F. Burgette, Ph.D., RAND Corporation,


M. H. Clark, Ph.D., Department of Learning Sciences and Educational Research, University of Central Florida,


Tom H. Greene, Ph.D., Division of Biostatistics, University of Utah,


Beth Ann Griffin, Ph.D., RAND Corporation,


Rolf H. H. Groenwold, M.D., Ph.D., Leiden University, The Netherlands,


Debbie L. Hahs-Vaughn, Ph.D., Department of Learning Sciences and Educational Research, University of Central Florida,


Bradley E. Huitema, Ph.D., Emeritus, Department of Psychology, Western Michigan University,


Ben Kelcey, Ph.D., School of Education, University of Cincinnati,


Olaf H. Klungel, Pharm.D., Ph.D., Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht University, The Netherlands,


Scott F. Kosten, Ph.D., inVentiv Health Clinical,


Walter L. Leite, Ph.D., Research and Evaluation Methodology Program, University of Florida,


Liang Li, Ph.D., Department of Biostatistics, University of Texas MD Anderson Cancer Center,


Lingling Li, Ph.D., Department of Population Medicine, Harvard Medical School,


Xiaochun Li, Ph.D., Department of Biostatistics, Indiana University,


Daniel F. McCaffrey, Ph.D., Educational Testing Service,


Joseph W. McKean, Ph.D., Department of Statistics, Western Michigan University,


Robin Mitra, Ph.D., Mathematical Sciences, University of Southampton, UK,


Wei Pan, Ph.D., School of Nursing, Duke University,


Cassandra W. Pattanayak, Ph.D., Quantitative Analysis Institute, Wellesley College,


Brian C. Sauer, Ph.D., Division of Epidemiology, University of Utah,


Megan Schuler, Ph.D., The Methodology Center, Pennsylvania State University,


Changyu Shen, Ph.D., Department of Biostatistics, Indiana University,


Christopher M. Swoboda, Ph.D., School of Education, University of Cincinnati,


Qiu Wang, Ph.D., Department of Higher Education, Syracuse University,


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"Pan and Bai have assembled a comprehensive volume on all aspects of propensity score methods. Both the user and the statistician will find something to like in this book. I recommend it. "

-William R. Shadish, Ph.D. (1949-2016),

Late Distinguished Professor of Psychology, University of California, Merced


"There is no question that this book will serve as an excellent resource for those who want to add PSA to their repertoire of analytical methods. The chapters provide sufficient materials and examples to help both 'green hands' and seasoned analysts deal with the methodological and practical challenges of applying PSA in research work."

-Xitao Fan, Ph.D.,

Wei Lun Professor and Dean, Faculty of Education, The Chinese University of Hong Kong, China


"This book effectively synthesizes general principles of PSA with recent developments regarding complex issues such as estimation techniques, covariate balance, weighting, complex datasets, and sensitivity analysis. The discussion of statistical software and examples of computer code are helpful additions. This book will be useful to graduate students and applied researchers who are interested in learning about PSA for the first time or who have some knowledge and would like to learn about issues and recent developments. I recommend it as a textbook for graduate-level courses in methods of causal inference or as a reference for researchers in the social and biomedical sciences."

-Suzanne E. Graham, Ed.D.,

Associate Professor, Department of Education, University of New Hampshire


"This book is a go-to guide for designing and analyzing observational data. The editors have produced a brilliant work that addresses both methodological and practical issues in propensity score analysis. A 'must read' for all biostatisticians as well as applied researchers in the social, behavioral, and health sciences."

-Ding-Geng (Din) Chen, Ph.D.,

Professor, College of Health Solutions, Arizona State University


Questions? Phone: (919) 684-9324 or Email:,