Propensity Score Analysis: Statistical Methods and Applications (Advanced Quantitative Techniques in the Social Sciences) [ハードカバー]

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Propensity Score Matching provides readers with a systematic review of the origins, history, and statistical foundations of PSM and illustrates how to use PSM methods for solving evaluation problems. With a strong focus on practical applications, the authors explore various types of data and evaluation problems, strategies for using the methods, and the limitations of PSM. Unlike the existing textbooks on program evaluation, Guo and Fraser’s Propensity Score Matching delves into statistical concepts, formulas, and models underlying the application of PSM.
(20110706)

"The approach the authors take in writing this book is very effective for novices and experiences users...This balance between the practical and applied approach is a useful model for researchers to understand the process and interpretation of these analyses...[it] goes a long way in making propensity score analysis techniques more accessible, understandable, and useful to psychologists." (Karl N. Kelley PsycCRITIQUES )

"Guo and Fraser’s book Propensity Score Analysis: Statistical Methods and Applications is the first comprehensive book that discusses and compares different PS techniques from theoretical and practical points of view. One of the book’s strengths is its focus on the application of PS to real data.
[T]his textbook gives a good introduction to PS matching techniques and some alternative approaches for estimating causal treatment effects. With its many examples in Stata, it may be useful for graduate students and applied researchers who have no or limited experience with PS methods but are familiar with basic regression methods and mathematical/statistical notation." (Peter M. Steiner PSYCHOMETRIKA-VOL. 75, NO. 4, 775777 )