Bayesian survival analysis with BUGS

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dc.contributor.authorAlvares D.
dc.contributor.authorLázaro E.
dc.contributor.authorGómez-Rubio V.
dc.contributor.authorArmero C.
dc.date.accessioned2024-01-10T12:36:54Z
dc.date.available2024-01-10T12:36:54Z
dc.date.issued2021
dc.description.abstract© 2021 John Wiley & Sons Ltd.Survival analysis is one of the most important fields of statistics in medicine and biological sciences. In addition, the computational advances in the last decades have favored the use of Bayesian methods in this context, providing a flexible and powerful alternative to the traditional frequentist approach. The objective of this article is to summarize some of the most popular Bayesian survival models, such as accelerated failure time, proportional hazards, mixture cure, competing risks, multi-state, frailty, and joint models of longitudinal and survival data. Moreover, an implementation of each presented model is provided using a BUGS syntax that can be run with JAGS from the R programming language. Reference to other Bayesian R-packages is also discussed.
dc.description.funderMinisterio de Ciencia e Innovaci?n
dc.description.funderFondo Nacional de Desarrollo Cient?fico y Tecnol?gico
dc.description.funderFEDER
dc.fechaingreso.objetodigital2024-04-12
dc.fuente.origenScopus
dc.identifier.doi10.1002/sim.8933
dc.identifier.eissn10970258
dc.identifier.issn10970258 02776715
dc.identifier.pubmedidMEDLINE:33713474
dc.identifier.scopusidSCOPUS_ID:85102638896
dc.identifier.urihttps://doi.org/10.1002/sim.8933
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/76676
dc.identifier.wosidWOS:000628336300001
dc.information.autorucFacultad de Matemáticas; Alvares Da Silva, Danilo; 0000-0003-3764-0397; 1081962
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final3020
dc.pagina.inicio2975
dc.publisherJohn Wiley and Sons Ltd
dc.revistaStatistics in Medicine
dc.rightsacceso restringido
dc.subjectBayesian inference
dc.subjectJAGS
dc.subjectR-packages
dc.subjecttime-to-event analysis
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleBayesian survival analysis with BUGS
dc.typeartículo
dc.volumen40
sipa.codpersvinculados1081962
sipa.indexWos
sipa.indexScopus
sipa.indexPubmed
sipa.trazabilidadCarga SIPA;09-01-2024
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