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A Brief Note on the Simulation of Survival Data with A Desired Percentage of Right-Censored Datas
Volume 14, Issue 4 (2016), pp. 701–712
Edson Zangiacomi Martinez   Jorge Alberto Achcar   Marcos Vinicius de Oliveira Peres     All authors (4)

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https://doi.org/10.6339/JDS.201610_14(4).0007
Pub. online: 19 March 2021      Type: Research Article      Open accessOpen Access

Published
19 March 2021

Abstract

Abstract: 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.

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Keywords
Censored data simulation survival analysis

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Journal of data science

  • Online ISSN: 1683-8602
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