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.
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