Semiparametric analysis of panel count data with correlated observation and follow-up times

被引：0
作者：
Xin He
Xingwei Tong
Jianguo Sun
机构：
[1] The Ohio State University,Division of Biostatistics, College of Public Health
[2] Beijing Normal University,School of Mathematical Sciences
[3] University of Missouri,Department of Statistics
来源：
Lifetime Data Analysis | 2009年 / 15卷
关键词：
Estimating equation; Informative follow-up time; Informative observation times; Mean function model; Regression analysis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper discusses regression analysis of panel count data that often arise in longitudinal studies concerning occurrence rates of certain recurrent events. Panel count data mean that each study subject is observed only at discrete time points rather than under continuous observation. Furthermore, both observation and follow-up times can vary from subject to subject and may be correlated with the recurrent events. For inference, we propose some shared frailty models and estimating equations are developed for estimation of regression parameters. The proposed estimates are consistent and have asymptotically a normal distribution. The finite sample properties of the proposed estimates are investigated through simulation and an illustrative example from a cancer study is provided.
引用
收藏
页码：177 / 196
页数：19
相关论文
共 58 条
[1]  
Cheng SC(2000)Inferences for a semiparametric model with panel data Biometrika 87 89-97
[2]  
Wei LJ(1994)Modelling progression of CD4-lymphocyte count and its relationship to survival time Biometrics 50 1003-1014
[3]  
De Gruttola V(2002)Variable selection for Cox’s proportional hazards model and frailty model Ann Stat 30 74-99
[4]  
Tu X(2008)Regression analysis of multivariate panel count data Biostatistics 9 234-248
[5]  
Fan J(2007)A joint frailty model for survival time and gap times between recurrent events Biometrics 63 389-397
[6]  
Li R(2004)Joint modeling and estimation for recurrent event processes and failure time data J Am Stat Assoc 99 1153-1165
[7]  
He X(2006)Analysing panel count data with informative observation times Biometrika 93 763-775
[8]  
Tong X(1985)The analysis of panel data under a Markov assumption J Am Stat Assoc 80 863-871
[9]  
Sun J(2002)Parameter estimation in longitudinal studies with outcome-dependent follow-up Biometrics 58 621-630
[10]  
Cook R(2004)Shared frailty models for recurrent events and a terminal event Biometrics 60 747-756
123456