Literature DB >> 18445699

A comparison of various rate functions of a recurrent event process in the presence of a terminal event.

Xianghua Luo1, Mei-Cheng Wang, Chiung-Yu Huang.   

Abstract

Several different rate functions of the recurrent event process have been proposed for analysing recurrent event data when the observation of a study subject can be terminated by a failure event, such as death. When the terminal event is correlated with the underlying recurrent event process, these rate functions have different interpretations; however, recognition of the differences has been lacking theoretically and practically. In this article, we study the relationship between these rate functions and demonstrate that models based on an inappropriate rate function may lead to misleading scientific conclusions in various scenarios. An analysis of data from an AIDS clinical trial is presented to emphasise the importance of cautious model selection.

Entities:  

Mesh:

Year:  2008        PMID: 18445699     DOI: 10.1177/0962280208090220

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  4 in total

1.  Joint modeling of longitudinal, recurrent events and failure time data for survivor's population.

Authors:  Qing Cai; Mei-Cheng Wang; Kwun Chuen Gary Chan
Journal:  Biometrics       Date:  2017-03-23       Impact factor: 2.571

2.  Regression analysis of mixed panel count data with dependent terminal events.

Authors:  Guanglei Yu; Liang Zhu; Yang Li; Jianguo Sun; Leslie L Robison
Journal:  Stat Med       Date:  2017-01-18       Impact factor: 2.373

3.  Joint scale-change models for recurrent events and failure time.

Authors:  Gongjun Xu; Sy Han Chiou; Chiung-Yu Huang; Mei-Cheng Wang; Jun Yan
Journal:  J Am Stat Assoc       Date:  2017-04-12       Impact factor: 5.033

4.  GENERALIZED ACCELERATED RECURRENCE TIME MODEL IN THE PRESENCE OF A DEPENDENT TERMINAL EVENT.

Authors:  By Bo Wei; Zhumin Zhang; HuiChuan J Lai; Limin Peng
Journal:  Ann Appl Stat       Date:  2020-06-29       Impact factor: 2.083

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.