Pseudo-Maximum Likelihood Estimation in the Hazards Cure Model with a Single Change Point for Current Status Data
Received:June 06, 2019  Revised:October 10, 2019
Key Word: current status data   change-point hazard model   cure fraction   pseudo-maximum likelihood  
Fund ProjectL:Supported by the National Natural Sciences Foundation of China (Grant No.11471065).
Author NameAffiliation
Bing WANG Department of Mathematics, Dalian University of Technology, Liaoning 116024, P. R. China 
Xiaoguang WANG Department of Mathematics, Dalian University of Technology, Liaoning 116024, P. R. China 
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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 finite-sample performance of the estimation.
Citation:
DOI:10.3770/j.issn:2095-2651.2020.03.009
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