Nonparametric Comparison for Multivariate Panel Count Data

被引：2
|
作者：
Zhao, Hui [1 ,2 ]
Virkler, Kate [2 ]
Sun, Jianguo [2 ]
机构：
[1] Cent China Normal Univ, Dept Stat, Wuhan, Peoples R China
[2] Univ Missouri, Dept Stat, Columbia, MO 65211 USA
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2014年 / 43卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Counting processes; Medical follow-up study; Nonparametric comparison; Panel count data; Skin cancer study; RECURRENT EVENTS; REGRESSION-ANALYSIS; MARGINAL ANALYSIS; TESTS;
D O I：
10.1080/03610926.2012.667486
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
Multivariate panel count data often occur when there exist several related recurrent events or response variables defined by occurrences of related events. For univariate panel count data, several nonparametric treatment comparison procedures have been developed. However, it does not seem to exist a nonparametric procedure for multivariate cases. Based on differences between estimated mean functions, this article proposes a class of nonparametric test procedures for multivariate panel count data. The asymptotic distribution of the new test statistics is established and a simulation study is conducted. Moreover, the new procedures are applied to a skin cancer problem that motivated this study.
引用
收藏
页码：644 / 655
页数：12
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