Semiparametric Regression Analysis of Panel Count Data with Time-Dependent Covariates and Informative Observation and Censoring Times |
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Authors: | Shirong Deng |
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Institution: | 1. Department of Applied Mathematics , The Hong Kong Polytechnic University , Hong Kong shirongdeng@163.com |
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Abstract: | In this article, we extend the joint frailty models proposed by Zhao and Tong (2011
Zhao , X. ,
Tong , X. ( 2011 ). Semiparametric regression analysis of panel count data with informative observation times . Comput. Statist. Data. Anal. 55 : 291 – 300 .Crossref], Web of Science ®] , Google Scholar]) to panel count data with the time-dependent covariates and informative observation and censoring times. A novel estimating equation approach that does not depend on the distribution of frailty variables and the link function is proposed for estimation of parameters, and the asymptotic properties of the proposed estimators are established. Simulation studies demonstrate that the proposed inference procedure performs well. The analysis of a bladder tumor data is presented to illustrate the method. |
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Keywords: | Informative censoring Informative observation times Panel count data Regression analysis Time-dependent covariates |
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