Pseudo-Maximum Likelihood Estimation in the Hazards Cure Model with a Single Change Point for Current Status Data  

作　　者：Bing WANG Xiaoguang WANG 

机构地区：[1]Department of Mathematics,Dalian University of Technology,Liaoning 116024,P.R.China

出　　处：《Journal of Mathematical Research with Applications》2020年第3期320-330,共11页数学研究及应用（英文版）

基　　金：the National Natural Sciences Foundation of China(Grant No.11471065).

摘　　要：The change-point hazards model has received much attention, since it can not only display the impacts of treatments or medical breakthroughs more directly, but also provide the time point when those impacts occur. In this paper, we propose the single change-point hazards model for current status survival data with long-term survivors and investigate the estimation for the proposed model. Large-sample properties of the estimators are established. Simulation studies are carried out to evaluate the finite-sample performance of the estimation.

关 键 词：current status data change-point hazard model cure fraction pseudo-maximum likelihood 

分 类 号：R311[医药卫生—基础医学]