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    • Publisher:
      Cambridge University Press
      Publication date:
      03 May 2022
      26 May 2022
      ISBN:
      9781009053594
      9781009054508
      DOI:
      https://doi.org/10.1017/9781009053594
      Dimensions:
      Weight & Pages:
      Dimensions:
      (229 x 152 mm)
      Weight & Pages:
      0.14kg, 84 Pages
      • Subjects:
      Research Methods in Politics, Politics and International Relations, Research Methods In Politics
      Series:
      Elements in Quantitative and Computational Methods for the Social Sciences
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    • Selected: Digital
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    Subjects:
    Research Methods in Politics, Politics and International Relations, Research Methods In Politics
    Series:
    Elements in Quantitative and Computational Methods for the Social Sciences
    Information

    Book description

    Quantitative social scientists use survival analysis to understand the forces that determine the duration of events. This Element provides a guideline to new techniques and models in survival analysis, particularly in three areas: non-proportional covariate effects, competing risks, and multi-state models. It also revisits models for repeated events. The Element promotes multi-state models as a unified framework for survival analysis and highlights the role of general transition probabilities as key quantities of interest that complement traditional hazard analysis. These quantities focus on the long term probabilities that units will occupy particular states conditional on their current state, and they are central in the design and implementation of policy interventions.

    References

    References

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    Therneau, Terry M. , Lumley, Thomas, Elizabeth, Atkinson, and Cynthia, Crowson. 2022. Package “survival”: Survival Analysis. Comprehensive R Archive Network (CRAN). https://cran.r-project.org/web/packages/survival/index.html

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