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Semiparametric analysis of multivariate panel count data with dependent observation processes and a terminal event

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成果类型:
期刊论文
作者:
Zhao, Hui;Li, Yang;Sun, Jianguo*
通讯作者:
Sun, Jianguo
作者机构:
[Zhao, Hui] Cent China Normal Univ, Dept Stat, Wuhan 430079, Peoples R China.
[Li, Yang; Sun, Jianguo] Univ Missouri, Dept Stat, Columbia, MO 65211 USA.
通讯机构:
[Sun, Jianguo] U
Univ Missouri, Dept Stat, Columbia, MO 65211 USA.
语种:
英文
关键词:
estimating equation;informative observation process;multivariate panel count data;semiparametric additive model;terminal event
期刊:
Journal of Nonparametric Statistics
ISSN:
1048-5252
年:
2013
卷:
25
期:
2
页码:
379-394
基金类别:
We thank the Chief Editor, Dr Suojin Wang, the associate editor and the anonymous reviewers for their helpful comments and suggestions. The first author’s work was partly supported by the National Natural Science Foundation of China (11001097).
机构署名:
本校为第一机构
院系归属:
数学与统计学学院
摘要:
This paper considers regression analysis of multivariate panel count data in the presence of some terminal events. Furthermore, both the observation process and the terminal event may be correlated with the recurrent event process of interest. For the problem, we present a semiparametric additive model for the mean function of the recurrent event process and an estimating equation-based inference procedure is developed for the estimation of regression parameters. In the procedure, the inverse survival probability weighting technique is used and the asymptotic properties of the proposed estimat...

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