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Propensity Score Analysis : Fundamentals and Developments

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Title: Propensity Score Analysis : Fundamentals and Developments
Description: This book is designed to help researchers better design and analyze observational data from quasi-experimental studies and improve the validity of research on causal claims. It provides clear guidance on the use of different propensity score analysis (PSA) methods, from the fundamentals to complex, cutting-edge techniques. Experts in the field introduce underlying concepts and current issues and review relevant software programs for PSA. The book addresses the steps in propensity score estimation, including the use of generalized boosted models, how to identify which matching methods work best with specific types of data, and the evaluation of balance results on key background covariates after matching. Also covered are applications of PSA with complex data, working with missing data, controlling for unobserved confounding, and the extension of PSA to prognostic score analysis for causal inference. User-friendly features include statistical program codes and application examples. Data and software code for the examples are available at the companion website (www.guilford.com/pan-materials).
Authors: Wei Pan, Haiyan Bai
Resource Type: eBook.
Subjects: Social sciences--Statistical methods
Categories: PSYCHOLOGY / Statistics, EDUCATION / Statistics, MEDICAL / Research, SOCIAL SCIENCE / Statistics
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 916659
RelevancyScore: 1064
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1063.91076660156
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  Data: Propensity Score Analysis : Fundamentals and Developments
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  Data: This book is designed to help researchers better design and analyze observational data from quasi-experimental studies and improve the validity of research on causal claims. It provides clear guidance on the use of different propensity score analysis (PSA) methods, from the fundamentals to complex, cutting-edge techniques. Experts in the field introduce underlying concepts and current issues and review relevant software programs for PSA. The book addresses the steps in propensity score estimation, including the use of generalized boosted models, how to identify which matching methods work best with specific types of data, and the evaluation of balance results on key background covariates after matching. Also covered are applications of PSA with complex data, working with missing data, controlling for unobserved confounding, and the extension of PSA to prognostic score analysis for causal inference. User-friendly features include statistical program codes and application examples. Data and software code for the examples are available at the companion website (www.guilford.com/pan-materials).
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  Data: <searchLink fieldCode="AR" term="%22Wei+Pan%22">Wei Pan</searchLink><br /><searchLink fieldCode="AR" term="%22Haiyan+Bai%22">Haiyan Bai</searchLink>
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  Data: eBook.
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  Data: <searchLink fieldCode="DE" term="%22Social+sciences--Statistical+methods%22">Social sciences--Statistical methods</searchLink>
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  Data: <searchLink fieldCode="ZK" term="%22PSYCHOLOGY+%2F+Statistics%22">PSYCHOLOGY / Statistics</searchLink><br /><searchLink fieldCode="ZK" term="%22EDUCATION+%2F+Statistics%22">EDUCATION / Statistics</searchLink><br /><searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Research%22">MEDICAL / Research</searchLink><br /><searchLink fieldCode="ZK" term="%22SOCIAL+SCIENCE+%2F+Statistics%22">SOCIAL SCIENCE / Statistics</searchLink>
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    Classifications:
      – Code: 001.422
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Social sciences--Statistical methods
        Type: general
    Titles:
      – TitleFull: Propensity Score Analysis : Fundamentals and Developments
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Wei Pan
      – PersonEntity:
          Name:
            NameFull: Haiyan Bai
      – PersonEntity:
          Name:
            NameFull: Wei Pan
      – PersonEntity:
          Name:
            NameFull: Haiyan Bai
    IsPartOfRelationships:
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2015
            – D: 14
              M: 04
              Type: profile
              Y: 2015
          Identifiers:
            – Type: isbn-print
              Value: 9781462519491
            – Type: isbn-electronic
              Value: 9781462519538
          Titles:
            – TitleFull: Propensity Score Analysis : Fundamentals and Developments
              Type: main
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