Event history analysis : regression for longitudinal event data

書誌事項

Event history analysis : regression for longitudinal event data

Paul D. Allison

(Sage university papers series, . Quantitative applications in the social sciences ; no. 07-046)

Sage Publications, 1984

  • : pbk

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注記

Bibliography: p. 83-85

内容説明・目次

内容説明

Drawing on recent 'event history' analytical methods from biostatistics, engineering, and sociology, this clear and comprehensive monograph explains how longitudinal data can be used to study the causes of deaths, crimes, wars, and many other human events. Allison shows why ordinary multiple regression is not suited to analyze event history data, and demonstrates how innovative regression-like methods can overcome this problem. He then discusses the particular new methods that social scientists should find useful.

目次

Introduction A Discrete-Time Method Parametric Methods for Continuous-Time Data Proportional Hazards and Partial Likelihood Multiple Kinds of Events Repeated Events Change of States Conclusion

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詳細情報

  • NII書誌ID(NCID)
    BA01423863
  • ISBN
    • 9780803920552
  • LCCN
    84051704
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Beverly Hills, Calif.
  • ページ数/冊数
    87 p.
  • 大きさ
    22 cm
  • 分類
  • 件名
  • 親書誌ID
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