Semiparametric Estimation with Correlated Recurrent Event Data under Informative Monitoring
Consider a recurrent event data where frailty models are used to account for correlations among the inter-event times within each unit under study. In this talk we consider the problem of semiparametric estimation of the inter-event time distribution under informative monitoring and the Gamma frailty model. We propose a semiparametric estimator of the baseline survivor function. We show that the estimator under the i.i.d. setting is inconsistent in the presence of frailty. We present results of simulaiton study where we discuss the performence of our proposed estimator to that derived under the i.i.d. setting. Finally, these estimators will be demonstrated by applying to biomedical and engineering data sets.
A. Adekpedjou and J. Quiton, "Semiparametric Estimation with Correlated Recurrent Event Data under Informative Monitoring," Proceedings of the 2008 Joint Statistical Meetings (2008, Denver, CO), American Statistical Association, Aug 2008.
2008 Joint Statistical Meetings (2008: Aug. 3-7, Denver, CO)
Mathematics and Statistics
Keywords and Phrases
Correlated Recurrent times; Frailty model; Informative Censoring; Koziol-Green Model
Article - Conference proceedings
© 2008 American Statistical Association, All rights reserved.
07 Aug 2008