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.
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页码：177 / 196
页数：19
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