Joint modeling of recurrent and terminal events using additive models

Lianqiang Qu, Liuquan Sun, Lei Liu

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

In this article, we propose a joint modeling approach for the analysis of recurrent event data with a terminal event. We specify an additive rates model with a multiplicative frailty for the conditional recurrent event rate, and an additive hazards frailty model for the terminal event. A shared frailty is used to account for the association between recurrent and terminal events. An estimating equation approach is developed for the marginal and association parameters in the joint model, and the asymptotic properties of the proposed estimators are established. The finite sample performance of the proposed estimators is examined through simulation studies, and an application to a medical cost study of chronic heart failure patients is illustrated.

Original languageEnglish
Pages (from-to)699-710
Number of pages12
JournalStatistics and its Interface
Volume10
Issue number4
DOIs
StatePublished - 2017

Keywords

  • Additive models
  • Estimating equations
  • Frailty
  • Partial marginal models
  • Recurrent events
  • Terminal event

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