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Propensity score analysis: statistical methods and applications

By: Guo, Shenyang.
Contributor(s): Fraser, Mark W.
Material type: materialTypeLabelBookSeries: Advanced Quantitative Techniques in the Social Sciences - Vol.11. Publisher: Los Angeles SAGE Publications 2015Edition: 2nd ed.Description: xxiv, 421p.ISBN: 9781452235004.Subject(s): Social sciences - statistical methods | Analysis of variance | Advanced quantitative techniques - social sciencesDDC classification: 519.53 Summary: Fully updated to reflect the most recent changes in the field, the Second Edition of Propensity Score Analysis provides an accessible, systematic review of the origins, history, and statistical foundations of propensity score analysis, illustrating how it can be used for solving evaluation and causal-inference problems. With a strong focus on practical applications, the authors explore various strategies for employing PSA, discuss the use of PSA with alternative types of data, and delineate the limitations of PSA under a variety of constraints. Unlike existing textbooks on program evaluation and causal inference, this book delves into statistical concepts, formulas, and models within the context of a robust and engaging focus on application. https://us.sagepub.com/en-us/nam/propensity-score-analysis/book238151
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Non-fiction 519.53 G8P7 (Browse shelf) Checked out 12/07/2019 196539

Fully updated to reflect the most recent changes in the field, the Second Edition of Propensity Score Analysis provides an accessible, systematic review of the origins, history, and statistical foundations of propensity score analysis, illustrating how it can be used for solving evaluation and causal-inference problems. With a strong focus on practical applications, the authors explore various strategies for employing PSA, discuss the use of PSA with alternative types of data, and delineate the limitations of PSA under a variety of constraints. Unlike existing textbooks on program evaluation and causal inference, this book delves into statistical concepts, formulas, and models within the context of a robust and engaging focus on application.

https://us.sagepub.com/en-us/nam/propensity-score-analysis/book238151

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