Propensity Score Modeling and Adjustment Procedures

by David W. Stephens

This book provides a good balance of propensity score modeling theory (particularly semiparametric methods) and applications through worked examples and software, including R and Stata code. Key topics covered include longitudinal data, survival data, survey sampling, model selection, and Bayesian aspects. The book is suitable for graduate students and researchers in statistics as well as practitioners in applied areas, such as the health, social, and behavioral sciences, and econometrics.

300 pages, Hardcover

Published January 1, 2021

About the author

Dave Stephens is a professor in the Department of Ecology, Evolution and Behavior at the University of Minnesota. In 2012 he served as a program director in animal behavior at the National Science Foundation. His research focuses on the behavioral ecology of animal learning and decision making.