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Details
| Document Type: | Book |
|---|---|
| All Authors / Contributors: |
Shenyang Guo; Mark W Fraser |
| ISBN: | 9781412953566 1412953561 |
| OCLC Number: | 317623272 |
| Description: | xviii, 370 p. : ill. ; 24 cm. |
| Contents: | Counterfactual framework and assumptions -- Conventional methods for data balancing -- Sample selection and related models -- Propensity score matching and related models -- Matching estimators -- Propensity score analysis with nonparametric regression -- Selection bias and sensitivity analysis -- Concluding remarks. |
| Series Title: | Advanced quantitative techniques in the social sciences, 11. |
| Responsibility: | Shenyang Guo, Mark W. Fraser. |
Reviews
Publisher Synopsis
"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 20110706 "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, 775--777 20101208 Read more...
