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

作     者：YONG-XIU CAO JI-CHANG YU YAN-YAN LIU 

作者机构：School of Mathematics and Statistics Wuhan University School of Statistics and Mathematics Zhongnan University of Economics and Law 

出 版 物：《Acta Mathematicae Applicatae Sinica》 (应用数学学报（英文版）)

年 卷 期：2015年第31卷第3期

页      面：841-854页

核心收录：

学科分类：07[理学] 070104[理学-应用数学] 0701[理学-数学] 

基　　金：Supported in part by the Central Universities under Grant No.31541311216,2042014kf0256 the National Natural Science Foundation of China under Grant No.11171263,11301545,61371126 and 11401443 

主　　题：Cox's proportional hazards model generalized case cohort optimal allocation 

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.