Recurrent Events Analysis in the Presence of Terminal Event and Zero-recurrence Subjects

Xiaobing Zhao, Jinglong Wang, Xian Zhou and Zhongyi Zhu

Communications in Statistics - Theory and Methods, 2015, vol. 44, issue 4, 710-725

Abstract: 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.

Date: 2015
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DOI: 10.1080/03610926.2012.753085

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