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Semiparametric transformation models for panel count data with correlated observation and follow-up times

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成果类型:
期刊论文
作者:
Li, Ni;Zhao, Hui;Sun, Jianguo*
通讯作者:
Sun, Jianguo
作者机构:
[Li, Ni] Hainan Normal Univ, Sch Math & Stat, Haikou 571158, Peoples R China.
[Zhao, Hui] Cent China Normal Univ, Dept Stat, Wuhan 430079, Peoples R China.
[Sun, Jianguo] Univ Missouri, Dept Stat, Columbia, MO 65211 USA.
[Sun, Jianguo] Univ Missouri, Dept Stat, 146 Middlebush Hall, Columbia, MO 65211 USA.
通讯机构:
[Sun, Jianguo] U
Univ Missouri, Dept Stat, 146 Middlebush Hall, Columbia, MO 65211 USA.
语种:
英文
关键词:
estimating equation;informative follow-up process;informative observation process;transformation models
期刊:
Statistics in Medicine
ISSN:
0277-6715
年:
2013
卷:
32
期:
17
页码:
3039-3054
基金类别:
Research Grants Council of Hainan Normal University
机构署名:
本校为其他机构
院系归属:
数学与统计学学院
摘要:
The statistical analysis of panel count data has recently attracted a great deal of attention, and a number of approaches have been developed. However, most of these approaches are for situations where the observation and follow-up processes are independent of the underlying recurrent event process unconditional or conditional on covariates. In this paper, we discuss a more general situation where both the observation and the follow-up processes may be related with the recurrent event process of interest. For regression analysis, we present a c...

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