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Inference for probability of selection with dependently truncated data using a Cox model

机译:使用Cox模型推断具有相关截断数据的选择概率

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摘要

A truncated sample consists of realizations of two variables L and T subject to the constraint L < T. One simple solution to dependently truncated data is to take L as a covariate of T in the Cox model. We aimed at studying the probability of selection, P(L < T), in this framework. We proposed the point estimator and derived its asymptotic distribution. Both truncated-only data and censored and truncated data were generated in the simulation study. The proposed point and variance estimators showed good performance in various simulated settings. The bone marrow transplant registry data were analyzed as the illustrative example.
机译:截断后的样本包含两个变量L和T的实现,这些变量受约束L

著录项

  • 来源
    《Communications in Statistics》 |2017年第3期|1944-1957|共14页
  • 作者

    Zhang Xu; Li Ji; Liu Yang;

  • 作者单位

    Univ Mississippi, Med Ctr, Inst Canc, Ctr Biostat & Bioinformat, Jackson, MS 39216 USA;

    Univ Oklahoma, Hlth Sci Ctr, Dept Biostat & Epidemiol, Oklahoma City, OK USA;

    US Ctr Dis Control & Prevent, Div Anal Res & Practice Integrat, Natl Ctr Injury Prevent & Control, Atlanta, GA USA;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Dependently truncated data; Inverse probability weighting; Quasi-independence;

    机译:相关截断的数据;逆概率加权;拟独立;

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