Markov chain models for multivariate repeated binary data analysis

被引：2

作者：

Tian, W ^{[1
]}

Anderson, SJ ^{[1
]}

机构：

[1] Univ Pittsburgh, Dept Biostat, Pittsburgh, PA 15261 USA

来源：

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2000年 / 29卷 / 04期

关键词：

Markov chain models; multivariate repeated data; loglinear models; clinical trials; toxicity;

D O I：

10.1080/03610910008813651

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：

Repeated categorical outcomes frequently occur in clinical trials. Muenz and Rubinstein (1985) presented Markov chain models to analyze binary repeated data in a breast cancer study. We extend their method to the setting when more than one repeated outcome variable is of interest. In a randomized clinical trial of breast cancer, we investigate the dependency of toxicities on predictor variables and the relationship among multiple toxic effects.

引用

页码：1001 / 1019

页数：19

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