A review of Cox's model extensions for multiple events

  • Ana Maria Abreu Departamento de Matemática, Faculdade de Ciências Exatas e da Engenharia, Universidade da Madeira, 9020-105 Funchal, Portugal
  • Ivo Sousa-Ferreira Centro de Estatística e Aplicações, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal
Keywords: extensions of Cox's model, multiple events, Survival Analysis


In longitudinal studies, it is usual that a given subject can experience several failures. To analyse multiple failure-time data, we reviewed some extensions of Cox's regression model, which were proposed by: Prentice, Williams and Peterson (PWP); Andersen and Gill (AG); Wei, Lin e Weissfeld (WLW); and Lee, Wei and Amato (LWA). Our main goal is to underline the differences between these extensions, through a brief but careful description, providing also some guidance on how to choose the proper model for each situation. The guidelines presented in this work revealed to be a useful pointer to easily choose the most suitable model. Secondarily, we used the survsim and the survival R packages to illustrate the practical implementation of these models.


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How to Cite
Abreu, A. M., & Sousa-Ferreira, I. (2019). A review of Cox’s model extensions for multiple events. IJRDO-Journal of Applied Science, 5(2), 47-62. https://doi.org/10.53555/as.v5i2.2677