Optimal Generalized Case-Cohort Analysis with Cox's Proportional Hazards Model

被引：4

作者：

YONG-XIU CAO ^{[1
]}

JI-CHANG YU ^{[2
]}

YAN-YAN LIU ^{[1
]}

机构：

[1] School of Mathematics and Statistics, Wuhan University

[2] School of Statistics and Mathematics, Zhongnan University of Economics and Law

来源：

Acta Mathematicae Applicatae Sinica | 2015年 / 03期

基金：

中国国家自然科学基金;

关键词：

Cox’s proportional hazards model; generalized case-cohort; optimal allocation;

D O I：

暂无

中图分类号：

O175 [微分方程、积分方程];

学科分类号：

070104 ;

摘要：

Generalized case-cohort design has been proved to be a cost-effective way to enhance the efficiency of large epidemiological cohort. In this article, we propose an inference procedure for estimating the unknown parameters in Cox’s proportional hazards model in generalized case-cohort design and establish an optimal sample size allocation to achieve the maximum power at a given budget. The finite sample performance of the proposed method is evaluated through simulation studies. The proposed method is applied to a real data set from the National Wilm’s Tumor Study Group.

引用

页码：841 / 854

页数：14

共 9 条

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