Pseudo-maximum Likelihood Estimation in the Hazards Cure Model with a Single Change Point for Current Status Data
Received:June 06, 2019  Revised:September 05, 2019
Key Word: current status data   change-point hazard model   cure fraction   pseudo-maximum likelihood.  
Fund ProjectL:The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)
Author NameAffiliationE-mail
Bing Wang Dalian University of Technology wanghuaibing@mail.dlut.edu.cn 
XiaoGuang Wang Dalian University of Technology wangxg@dlut.edu.cn 
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Abstract:
      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 nite-sample performance of the estimation.
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