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  • 标题:A brief note on the simulation of survival data with a desired percentage of right-censored data
  • 本地全文:下载
  • 作者:Edson Zangiacomi Martinez ; Jorge Alberto Achcar ; Marcos Vinicius de Oliveira Peres
  • 期刊名称:Journal of Data Science
  • 印刷版ISSN:1680-743X
  • 电子版ISSN:1683-8602
  • 出版年度:2016
  • 卷号:14
  • 期号:4
  • 页码:701-712
  • 出版社:Tingmao Publish Company
  • 摘要:Simulation studies are important statistical tools used to inves-tigate the performance, properties and adequacy of statistical models. The simulation of right-censored time-to-event data involves the generation of two independent survival distributions, where the rst distribution repre-sents the uncensored survival times and the second distribution represents the censoring mechanism. In this brief report we discuss how we can make it so that the percentage of censored data is previously de ned. The described method was used to generate data from a Weibull distribution, but it can be adapted to any other lifetime distribution. We further presented an R code function for generating random samples, considering the proposed approach.
  • 关键词:Censored data; simulation; survival analysis; Weibull distribution
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