Sampling with censored data: a practical guide

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dc.contributor.authorRamos, Pedro L.
dc.contributor.authorGuzman, Daniel C. F.
dc.contributor.authorMota, Alex L.
dc.contributor.authorSaavedra, Daniel A.
dc.contributor.authorRodrigues, Francisco A.
dc.contributor.authorLouzada, Francisco
dc.date.accessioned2025-01-20T16:06:32Z
dc.date.available2025-01-20T16:06:32Z
dc.date.issued2024
dc.description.abstractIn this review, we present a simple guide for researchers to obtain pseudo-random samples with censored data. We focus our attention on the most common types of censored data, such as type I, type II, and random censoring. We discussed the necessary steps to sample pseudo-random values from long-term survival models where an additional cure fraction is informed. For illustrative purposes, these techniques are applied in the Weibull distribution. The algorithms and codes in R are presented, enabling the reproducibility of our study. Finally, we developed an R package that encapsulates these methodologies, providing researchers with practical tools for implementation.
dc.fuente.origenWOS
dc.identifier.doi10.1080/00949655.2024.2409379
dc.identifier.eissn1563-5163
dc.identifier.issn0094-9655
dc.identifier.urihttps://doi.org/10.1080/00949655.2024.2409379
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/89963
dc.identifier.wosidWOS:001329465200001
dc.language.isoen
dc.revistaJournal of statistical computation and simulation
dc.rightsacceso restringido
dc.subjectCensored data
dc.subjectcure fraction
dc.subjectsampling
dc.subjectsimulation
dc.subjectWeibull distribution
dc.titleSampling with censored data: a practical guide
dc.typeartículo
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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