Propensity Score Modeling and Adjustment Procedures

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.

Aceasta carte ofera un bun echilibru intre teoria modelarii scorului de inclinatie (in special metodele semiparametrice) si aplicatiile prin exemple si software lucrat, inclusiv codul R si Stata. Subiectele cheie acoperite includ datele longitudinale, datele de supravietuire, esantionarea sondajului, selectia modelului si aspectele bayesiene.