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The Analysis of Recurrent Events for Multiple Subjects

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  • J. F. Lawless

Abstract

Methods of analysis for recurrent events for subjects in longitudinal studies are reviewed. Examples concerning the occurrence of tumours in laboratory animals undergoing a carcinogenicity test and the occurrence of automobile warranty claims are discussed. Different ways of introducing covariates and the distinction between marginal (e.g. rates and mean functions) and conditional (e.g. intensity functions) event process characteristics are emphasized. The usefulness of robust methods for estimating rates and mean functions is demonstrated.

Suggested Citation

  • J. F. Lawless, 1995. "The Analysis of Recurrent Events for Multiple Subjects," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 44(4), pages 487-498, December.
    • Handle: RePEc:bla:jorssc:v:44:y:1995:i:4:p:487-498
    DOI: 10.2307/2986140
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    Cited by:

    1. Jie Min & Yili Hong & Caleb B. King & William Q. Meeker, 2022. "Reliability analysis of artificial intelligence systems using recurrent events data from autonomous vehicles," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(4), pages 987-1013, August.
    2. Robert F. Balshaw & C. B. Dean, 2002. "A Semiparametric Model for the Analysis of Recurrent-Event Panel Data," Biometrics, The International Biometric Society, vol. 58(2), pages 324-331, June.
    3. Jean‐Yves Dauxois & Sophie Sencey, 2009. "Non‐parametric Tests for Recurrent Events under Competing Risks," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 36(4), pages 649-670, December.

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