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Empirical likelihood method for case-cohort studies
YU Wen *
Department of Statistics, School of Management, Fudan University, Shanghai 200433
*Correspondence author
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Funding: 国家自然科学基金资助课题（No.项目编号：11101091）, 高等学校博士学科点专项科研基金新教师类资助课题（No.项目编号：20110071120023）
Opened online:29 May 2013
Accepted by: none
Citation: YU Wen.Empirical likelihood method for case-cohort studies[OL]. [29 May 2013] http://en.paper.edu.cn/en_releasepaper/content/4544723
 
 
The case-cohort design is widely used in large epidemiological studies and prevention trials for cost reduction. In this paper, we propose an empirical likelihood based inferential procedure for the case-cohort design under Cox model. The proposed log-empirical likelihood ratio test statistics for the regression parameters are shown to possess chi-squared limiting distributions. The profile empirical likelihood can be applied to make inferences about linear combinations of the entire parameter vector. The proposed approach which avoids the complex variance estimation is an attractive alternative to the existing Wald-type inferential procedures. Simulation studies are conducted to assess the finite sample performances of the proposed inferential procedures. A real example is also provided for illustration.
Keywords:Case-cohort; Cox model; Empirical likelihood; Likelihood ratio test; Wilks theorem
 
 
 

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