Kernel smoothed profile likelihood estimation in the accelerated failure time frailty model for clustered survival data
聚类生存数据加速失效时间脆弱性模型的核平滑剖面似然估计
Clustered survival data frequently arise in biomedical applications, where event times of interest are clustered into groups such as families. In this article we consider an accelerated failure time frailty model for clustered survival data and develop nonparametric maximum likelihood estimation for it via a kernel smoother aided EM algorithm. We show that the proposed estimator for the regression coefficients is consistent, asymptotically normal and semiparametric efficient…