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  • 标题:npcure: An R Package for Nonparametric Inference in Mixture Cure Models
  • 本地全文:下载
  • 作者:Ana López-Cheda ; M. Amalia Jácome ; Ignacio López-de-Ullibarri
  • 期刊名称:R News
  • 印刷版ISSN:1609-3631
  • 出版年度:2021
  • 卷号:13
  • 期号:1
  • 页码:21-41
  • 语种:English
  • 出版社:The R Foundation for Statistical Computing
  • 摘要:Mixture cure models have been widely used to analyze survival data with a cure fraction. They assume that a subgroup of the individuals under study will never experience the event (cured subjects). So, the goal is twofold: to study both the cure probability and the failure time of the uncured individuals through a proper survival function (latency). The R package npcure implements a completely nonparametric approach for estimating these functions in mixture cure models, considering right-censored survival times. Nonparametric estimators for the cure probability and the latency as functions of a covariate are provided. Bootstrap bandwidth selectors for the estimators are included. The package also implements a nonparametric covariate significance test for the cure probability, which can be applied with a continuous, discrete, or qualitative covariate.
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