Propensity Score Analysis

Statistical Methods and Applications

Nonfiction, Reference & Language, Reference, Research, Social & Cultural Studies, Social Science
Cover of the book Propensity Score Analysis by Professor Shenyang Guo, Dr. Mark W. Fraser, SAGE Publications
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Author: Professor Shenyang Guo, Dr. Mark W. Fraser ISBN: 9781483322520
Publisher: SAGE Publications Publication: June 11, 2014
Imprint: SAGE Publications, Inc Language: English
Author: Professor Shenyang Guo, Dr. Mark W. Fraser
ISBN: 9781483322520
Publisher: SAGE Publications
Publication: June 11, 2014
Imprint: SAGE Publications, Inc
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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