多类型复发事件间隔时间下可加危险率模型(英文)  

The Additive Hazards Model for Multiple Type Recurrent Gap Times

作　　者：刘吉彩[1] 张日权[1,2] 刘焕彬[3] 

机构地区：[1]华东师范大学金融与统计学院,上海200241 [2]山西大同大学数学系,大同037009 [3]黄冈师范学院数学与计算机科学学院,黄冈438000

出　　处：《应用概率统计》2013年第4期381-391,共11页Chinese Journal of Applied Probability and Statistics

基　　金：supported in part by National Natural Science Foundation of China(1117112);Doctoral Fund of Ministry of Education of China(20090076110001);National Statistical Science Research Major Program of China(2011LZ051);supported in part by Natural Science Foundation of Hubei(2011CDB167);Major Research Program of Hubei Provincial Department of Education(Z20092701)

摘　　要：在许多的生物医学和工程研究中,多类型复发事件的间隔时间数据是很常见的.众所周知,比例危险率模型在一些情况下不能很好拟合生存数据.本文,在多类型复发事件的间隔时间数据下,我们利用可加危险率模型来研究协变量对生存时间的影响程度.我们采用估计方程方法获得回归系数和基准累积危险率函数估计.并且,我们建立了所提估计的渐近分布.In many biomedical and engineering studies, recurrent event data and. gap times between successive events are common and often more than one type of recurrent events is of interest. It is well known that the proportional hazards model may not be appropriate for fitting survival times in some settings. In the paper, we consider an additive hazards model for multiple type recurrent gap times data to assess the effect of covariates. For inferences about regression coefficients and baseline cumulative hazard functions, an estimating equation approach is developed. Furthermore, we establish asymptotic properties of the proposed estimators.

关 键 词：可加危险率模型 间隔时间 多类型复发事件 估计方程 多元生存分析 

分 类 号：O212.07[理学—概率论与数理统计]