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  3. Event History Modeling
  • Cited by 1146
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    • Publisher:
      Cambridge University Press
      Publication date:
      September 2012
      March 2004
      ISBN:
      9780511790874
      9780521837675
      9780521546737
      DOI:
      https://doi.org/10.1017/CBO9780511790874
      Dimensions:
      (228 x 152 mm)
      Weight & Pages:
      0.52kg, 234 Pages
      Dimensions:
      (228 x 152 mm)
      Weight & Pages:
      0.36kg, 234 Pages
      • Subjects:
      Research Methods in Politics, Politics: General Interest, Politics and International Relations, Research Methods In Politics
      Series:
      Analytical Methods for Social Research
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    Subjects:
    Research Methods in Politics, Politics: General Interest, Politics and International Relations, Research Methods In Politics
    Series:
    Analytical Methods for Social Research
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    Book description

    Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced students in the social sciences. The substantive focus of many social science research problems leads directly to the consideration of duration models, and many problems would be better analyzed by using these longitudinal methods to take into account not only whether the event happened, but when. The foundational principles of event history analysis are discussed and ample examples are estimated and interpreted using standard statistical packages, such as STATA and S-Plus. Critical innovations in diagnostics are discussed, including testing the proportional hazards assumption, identifying outliers, and assessing model fit. The treatment of complicated events includes coverage of unobserved heterogeneity, repeated events, and competing risks models. The authors point out common problems in the analysis of time-to-event data in the social sciences and make recommendations regarding the implementation of duration modeling methods.

    Reviews

    "Box-Steffensmeier and Jones have written a highly accessible and incredibly thoughtful introduction to survival analysis for the social scientist. I find Event History Modeling to be well suited for adoption both as a graduate and self study test. Highly recommended." --Tze Kwang Teo, University of Illinois at Urbana-Champaign, The Political Methodologist

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