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文章基本信息

  • 标题:Bootstrapping a change-point Cox model for survival data
  • 本地全文:下载
  • 作者:Gongjun Xu ; Bodhisattva Sen ; Zhiliang Ying
  • 期刊名称:Electronic Journal of Statistics
  • 印刷版ISSN:1935-7524
  • 出版年度:2014
  • 卷号:8
  • 期号:1
  • 页码:1345-1379
  • DOI:10.1214/14-EJS927
  • 语种:English
  • 出版社:Institute of Mathematical Statistics
  • 摘要:This paper investigates the (in)-consistency of various bootstrap methods for making inference on a change-point in time in the Cox model with right censored survival data. A criterion is established for the consistency of any bootstrap method. It is shown that the usual nonparametric bootstrap is inconsistent for the maximum partial likelihood estimation of the change-point. A new model-based bootstrap approach is proposed and its consistency established. Simulation studies are carried out to assess the performance of various bootstrap schemes.
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