成组复发事件下的加速失效时间模型

Accelerated failure time models for clustered recurrent event data

对成组复发事件数据建立了半参数加速失效时间模型,在这个模型中协变量对均值函数在整个复发过程中有加速、减速的作用.该文利用估计方程的理论,给出了该模型中未知参数和基本比率函数的估计,同时利用现代经验过程理论证明了所得估计的相合性和渐近正态性.

In this paper, we present a natural extension of accelerated failure time model for survival data to formulate the effects of covariates on the mean function of the counting process for Clustered Recurrent event data. Making use of the theory of estimating equation, the unknown parameter in the model is estimated. Based on modern empirical process theory, the consistency and asymptotic normality of the proposed estimators are proved.