A Generalized Log-Normal Model for Grouped Survival Data

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dc.contributor.authorSilveira, Liciana V. A. [UNESP]
dc.contributor.authorColosimo, Enrico A.
dc.contributor.authorPassos, Jose Raimundo de S. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal de Minas Gerais (UFMG)
dc.date.accessioned2014-05-20T13:48:04Z
dc.date.available2014-05-20T13:48:04Z
dc.date.issued2010-01-01
dc.description.abstractIt is common to have experiments in which it is not possible to observe the exact lifetimes but only the interval where they occur. This sort of data presents a high number of ties and it is called grouped or interval-censored survival data. Regression methods for grouped data are available in the statistical literature. The regression structure considers modeling the probability of a subject's survival past a visit time conditional on his survival at the previous visit. Two approaches are presented: assuming that lifetimes come from (1) a continuous proportional hazards model and (2) a logistic model. However, there may be situations in which none of the models are adequate for a particular data set. This article proposes the generalized log-normal model as an alternative model for discrete survival data. This model was introduced by Chen (1995) and it is extended in this article for grouped survival data. A real example related to a Chagas disease illustrates the proposed model.en
dc.description.affiliationIB UNESP, Dept Bioestat, BR-18618000 Botucatu, SP, Brazil
dc.description.affiliationICEx UFMG, Dept Estat, Belo Horizonte, MG, Brazil
dc.description.affiliationUnespIB UNESP, Dept Bioestat, BR-18618000 Botucatu, SP, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
dc.description.sponsorshipFundação para o Desenvolvimento da UNESP (FUNDUNESP)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent2659-2666
dc.identifierhttp://dx.doi.org/10.1080/03610920903009368
dc.identifier.citationCommunications In Statistics-theory and Methods. Philadelphia: Taylor & Francis Inc, v. 39, n. 15, p. 2659-2666, 2010.
dc.identifier.doi10.1080/03610920903009368
dc.identifier.issn0361-0926
dc.identifier.urihttp://hdl.handle.net/11449/17136
dc.identifier.wosWOS:000280544900001
dc.language.isoeng
dc.publisherTaylor & Francis Inc
dc.relation.ispartofCommunications in Statistics: Theory and Methods
dc.relation.ispartofjcr0.353
dc.relation.ispartofsjr0,352
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectDiscrete modelsen
dc.subjectInterval censoringen
dc.subjectLogistic modelen
dc.subjectProportional hazards modelen
dc.titleA Generalized Log-Normal Model for Grouped Survival Dataen
dc.typeArtigo
dcterms.licensehttp://journalauthors.tandf.co.uk/permissions/reusingOwnWork.asp
dcterms.rightsHolderTaylor & Francis Inc
unesp.author.orcid0000-0001-8931-5495[1]
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Biociências, Botucatupt

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Artigos - Bioestatística - IBB