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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/1049892
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- Title
- Recurrent events analysis in the presence of terminal event and zero-recurrence subjects
- Related
- Communications in statistics : theory and methods, Vol. 44, Issue 4, (2015), p.710-725
- DOI
- 10.1080/03610926.2012.753085
- Publisher
- Taylor & Francis
- Date
- 2015
- Author/Creator
- Zhao, Xiaobing
- Author/Creator
- Wang, Jinglong
- Author/Creator
- Zhou, Xian
- Author/Creator
- Zhu, Zhongyi
- Description
- 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.
- Description
- 16 page(s)
- Subject Keyword
- recurrent event
- Subject Keyword
- terminal event
- Subject Keyword
- zero-recurrence
- Subject Keyword
- rate function
- Subject Keyword
- information censoring
- Resource Type
- journal article
- Organisation
- Macquarie University. Department of Applied Finance and Actuarial Studies
- Identifier
- http://hdl.handle.net/1959.14/1049892
- Identifier
- mq:42023
- Identifier
- ISSN:0361-0926
- Identifier
- mq-rm-2014000382
- Identifier
- mq_res-se-128643
- Language
- eng
- Reviewed
