SAMPLE SIZE DETERMINATION IN SHARED FRAILTY MODELS FOR MULTIVARIATE TIME-TO-EVENT DATA

被引：5
|
作者：
Chen, Liddy M. [1 ]
Ibrahim, Joseph G. [2 ]
Chu, Haitao [3 ]
机构：
[1] PAREXEL Int, Biostat, Global Res Operat, Durham, NC USA
[2] Univ N Carolina, Dept Biostat, Chapel Hill, NC 27599 USA
[3] Univ Minnesota, Div Biostat, Minneapolis, MN USA
来源：
JOURNAL OF BIOPHARMACEUTICAL STATISTICS | 2014年 / 24卷 / 04期
关键词：
Frailty model; Multivariate survival; Sample size; SURVIVAL ANALYSIS; REGRESSION-MODEL; HETEROGENEITY; DISTRIBUTIONS; ASSOCIATION;
D O I：
10.1080/10543406.2014.901346
中图分类号：
R9 [药学];
学科分类号：
1007 ;
摘要：
The frailty model is increasingly popular for analyzing multivariate time-to-event data. The most common model is the shared frailty model. Although study design consideration is as important as analysis strategies, sample size determination methodology in studies with multivariate time-to-event data is greatly lacking in the literature. In this article, we develop a sample size determination method for the shared frailty model to investigate the treatment effect on multivariate event times. We analyzed the data using both a parametric model and a piecewise model with unknown baseline hazard, and compare the empirical power with the calculated power. Last, we discuss the formula for testing the treatment effect on recurrent events.
引用
收藏
页码：908 / 923
页数：16
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