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文章基本信息

  • 标题:icenReg: Regression Models for Interval Censored Data in R
  • 作者:Clifford Anderson-Bergman
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2017
  • 卷号:81
  • 期号:1
  • 页码:1-23
  • DOI:10.18637/jss.v081.i12
  • 语种:English
  • 出版社:University of California, Los Angeles
  • 摘要:The non-parametric maximum likelihood estimator and semi-parametric regression models are fundamental estimators for interval censored data, along with standard fullyparametric regression models. The R package icenReg is introduced which contains fast, reliable algorithms for fitting these models. In addition, the package contains functions for imputation of the censored response variables and diagnostics of both regression effects and baseline distribution.
  • 其他关键词:interval censoring;accelerated failure time;proportional hazards;proportional odds;survival analysis;semi-parametric regression;non-parametric
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