Please see the attached PDF documents.
Last updated 11/21/2011.
Errata
Available at Amazon.com
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Reviews and Comments
"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.
This 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
NORTHWESTERN UNIVERSITY
PSYCHOMETRIKA—VOL. 75, NO. 4, 775–777
"Propensity Score Analysis by Shenyang Guo and Mark W. Fraser is an excellent book on estimating treatment effects from observational data. Researchers and graduate students interested in the analysis of observation data will find this book invaluable."
- Stata technical group
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"There are many causal inference books out there, including Rubin's and
Rosenbaum's. This one is completely into propensity scoring and is very
comprehensive and practical. It includes some latest variations. I would
highly recommend it."
- Amazon.com reviewer
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