Recurrent events analysis in the presence of terminal event and zero-recurrence subjects

Xiaobing Zhao*, Jinglong Wang, Xian Zhou, Zhongyi Zhu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Recurrent event data are often encountered in longitudinal follow-up studies related to biomedical science, econometrics, reliability, and demography. In many situations, a terminal event such as death can happen during the follow-up period that precludes further recurrences. In this article, we will review some existing models for recurrent event with information censoring, and then extend them to allow zero-recurrence subjects as well as a terminal event. Estimating equations and partial likelihood are employed to estimate the coefficients of covariates, accumulative rate functions and the proportions of zero-recurrence subjects. The large-sample properties ofthe estimators are established as well. Simulations are performed to evaluate the estimationprocedure and an example of application on a set of migration data is provided to illustrateour proposed models and methods.

Original languageEnglish
Pages (from-to)710-725
Number of pages16
JournalCommunications in Statistics - Theory and Methods
Issue number4
Publication statusPublished - 16 Feb 2015


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