A general two-sample test for treatment effect with covariates adjustment

被引：0
|
作者：
Wu, Hong-Dar Isaac [1 ]
机构：
[1] Institute of Statistics, National Chung-Hsing University, Taiwan
来源：
International Journal of Applied Mathematics and Statistics | 2011年 / 24卷 / SUPPL. I-11A期
关键词：
Testing;
D O I：
暂无
中图分类号：
X9 [安全科学];
学科分类号：
0837 ;
摘要：
We study the weighted log-rank (WLR) test derived from a two-dimensional score function based on nonproportional hazards (NPH) models. Two classes of NPH models produce the same two-sample test. This study offers a quick and easy-to-implement WLR test incorporating covariates adjustment. Simulation results show that the proposed test has promising power. © 2011 by IJAMAS, CESER Publications.
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收藏
页码：60 / 73
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