A Semiparametric Additive Rates Model for Clustered Recurrent Event Data  

作　　者：Sui He Fen Wang Liu-quan Sun 

机构地区：[1]School of Mathematics and Statistics, Central China Normal University [2]Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences

出　　处：《Acta Mathematicae Applicatae Sinica》2013年第1期55-62,共8页应用数学学报（英文版）

基　　金：supported by International Cooperation Projects (2010DFA31790) of Chinese Ministry of Science and Technology;the fund of Central China Normal University for Ph.D students (No. 2009023);supported by the National Natural Science Foundation of China Grants(No. 10731010, 10971015 and 11021161);the National Basic Research Program of China (973 Program) (No.2007CB814902);Key Laboratory of Random Complex Structures and Data Science, Academy of Mathematics& Systems Science, Chinese Academy of Sciences (No. 2008DP173182)

摘　　要：Recurrent event data often arises in biomedical studies, and individuals within a cluster might not be independent. We propose a semiparametric additive rates model for clustered recurrent event data, wherein the covariates are assumed to add to the unspecified baseline rate. For the inference on the model parameters, estimating equation approaches are developed, and both large and finite sample properties of the proposed estimators are established.Recurrent event data often arises in biomedical studies, and individuals within a cluster might not be independent. We propose a semiparametric additive rates model for clustered recurrent event data, wherein the covariates are assumed to add to the unspecified baseline rate. For the inference on the model parameters, estimating equation approaches are developed, and both large and finite sample properties of the proposed estimators are established.

关 键 词：additive rates clustered failure time data estimating equation marginal model recurrentevents 

分 类 号：O211.67[理学—概率论与数理统计]