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Propensity Score Analysis: Statistical Methods and Applications (Advanced Quantitative Techniques in the Social Sciences) - Hardcover

 
9781452235004: Propensity Score Analysis: Statistical Methods and Applications (Advanced Quantitative Techniques in the Social Sciences)
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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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About the Author:

Shenyang Guo is the author of numerous research articles in child welfare, child mental health services, welfare, and health care. He has expertise in applying advanced statistical models to solving social welfare problems and has taught graduate courses that address survival analysis, hierarchical linear modeling, structural equation modeling, propensity score analysis, and program evaluation. In addition, Guo serves as the editor of SAGE Publication’s Advanced Quantitative Techniques in the Social Sciences Series and as a frequent reviewer for journals seeking a critique of advanced methodological analyses.

Guo is a fellow of American Academy of Social Work and Social Welfare. In addition, Guo serves on behalf of Washington University as the assistant vice chancellor for International Affairs―Greater China and as the McDonnell International Academy ambassador to China working with Fudan University. He was appointed by China’s Ministry of Education in 2016 as the Yangtze-River Chaired Professor at Xi’an Jiaotong University, China.

Review:
Over the past 35 years, methods of program evaluation have undergone a significant change, and the researchers have recognized the need to develop more efficient approaches for assessing treatment effects from studies based on observational data and for evaluations based on quasi-experimental designs.

    Written by experts, this volume is updated and fully reflects the current changes to the field. It offers a systematic review of the history, origins, and statistical foundations of propensity score analysis,  and more.
Author: NeoPopRealism Journal Published On: 2015-04-23

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  • PublisherSAGE Publications, Inc
  • Publication date2014
  • ISBN 10 1452235007
  • ISBN 13 9781452235004
  • BindingHardcover
  • Edition number2
  • Number of pages448
  • Rating

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