A general additive-multiplicative rates model for recurrent event data  

作　　者：DAI JiaJia SUN LiuQuan YANG ZhenHai 

机构地区：[1]College of Science,Guizhou University,Guiyang 550025,China [2]College of Applied Sciences,Beijing University of Technology,Beijing 100124,China [3]Institute of Applied Mathematics,Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,China

出　　处：《Science China Mathematics》2009年第10期2257-2265,共9页中国科学：数学（英文版）

基　　金：supported by National Natural Science Foundation of China (Grant Nos. 10571169, 10731010);National Basic Research Program of China (Grant No. 2007CB814902)

摘　　要：In this article, we propose a general additive-multiplicative rates model for recurrent event data. The proposed model includes the additive rates and multiplicative rates models as special cases. For the inference on the model parameters, estimating equation approaches are developed, and asymptotic properties of the proposed estimators are established through modern empirical process theory. In addition, an illustration with multiple-infection data from a clinic study on chronic granulomatous disease is provided.In this article, we propose a general additive-multiplicative rates model for recurrent event data. The proposed model includes the additive rates and multiplicative rates models as special cases. For the inference on the model parameters, estimating equation approaches are developed, and asymptotic properties of the proposed estimators are established through modern empirical process theory. In addition, an illustration with multiple-infection data from a clinic study on chronic granulomatous disease is provided.

关 键 词：recurrent event marginal model counting process generalized estimating equation 62G05 62N01 

分 类 号：O212[理学—概率论与数理统计]