More efficient estimators for marginal additive hazards model in case-cohort studies with multiple outcomes

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• 作者：Jin Wang ; Jie Zhou
• 关键词：Case ; cohort study ; multivariate failure times ; marginal additive hazards model ; efficient estimator ; 05B05 ; 05B25 ; 20B25
• 刊名：Acta Mathematica Sinica
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：32
• 期：3
• 页码：351-362
• 全文大小：222 KB
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• 作者单位：Jin Wang (1)
  Jie Zhou (2)
  
  1. School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, 200433, P. R. China
  2. School of Mathematics, Capital Normal University, Beijing, 100048, P. R. China
  
• 刊物类别：Mathematics and Statistics
• 刊物主题：Mathematics
  Mathematics
  Chinese Library of Science
  
• 出版者：Institute of Mathematics, Chinese Academy of Sciences and Chinese Mathematical Society, co-published
• ISSN：1439-7617

文摘

Case-cohort study designs are widely used to reduce the cost of large cohort studies. When several diseases are of interest, we can use the same subcohort. In this paper, we will study the casecohort design of marginal additive hazards model for multiple outcomes by a more efficient version. Instead of analyzing each disease separately, ignoring the additional exposure measurements collected on subjects with other diseases, we propose a new weighted estimating equation approach to improve the efficiency by utilizing as much information collected as possible. The consistency and asymptotic normality of the resulting estimator are established. Simulation studies are conducted to examine the finite sample performance of the proposed estimator, which confirm the efficiency gains. Keywords Case-cohort study multivariate failure times marginal additive hazards model efficient estimator