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dc.contributor.authorSilveira Chalita, Liciana V. A.-
dc.contributor.authorColosimo, Enrico A.-
dc.contributor.authorDe Souza Passos, Jose Raimundo-
dc.date.accessioned2014-05-20T13:47:40Z-
dc.date.accessioned2016-10-25T17:00:57Z-
dc.date.available2014-05-20T13:47:40Z-
dc.date.available2016-10-25T17:00:57Z-
dc.date.issued2006-10-01-
dc.identifierhttp://dx.doi.org/10.1080/03610910600880450-
dc.identifier.citationCommunications In Statistics-simulation and Computation. Philadelphia: Taylor & Francis Inc., v. 35, n. 4, p. 975-981, 2006.-
dc.identifier.issn0361-0918-
dc.identifier.urihttp://hdl.handle.net/11449/16968-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/16968-
dc.description.abstractIn this article, proportional hazards and logistic models for grouped survival data were extended to incorporate time-dependent covariates. The extension was motivated by a forestry experiment designed to compare five different water stresses in Eucalyptus grandis seedlings. The response was the seedling lifetime. The data set was grouped since there were just three occasions in which the seedlings was visited by the researcher. In each of these occasions also the shoot height was measured and therefore it is a time-dependent covariate. Both extended models were used in this example, and the results were very similar.en
dc.format.extent975-981-
dc.language.isoeng-
dc.publisherTaylor & Francis Inc-
dc.sourceWeb of Science-
dc.subjectdiscrete modelspt
dc.subjectinterval censoringpt
dc.subjectlogistic modelpt
dc.subjectproportional hazards modelpt
dc.subjectwater stresspt
dc.titleModeling grouped survival data with time-dependent covariatesen
dc.typeoutro-
dc.contributor.institutionUniversidade Federal de Minas Gerais (UFMG)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUFMG, ICEx, Dept Estatist, BR-30161970 Belo Horizonte, MG, Brazil-
dc.description.affiliationUniv Estadual Paulista Julio Mesquita Filho, IB, Dept Bioestatist, Botucatu, SP, Brazil-
dc.description.affiliationUnespUniv Estadual Paulista Julio Mesquita Filho, IB, Dept Bioestatist, Botucatu, SP, Brazil-
dc.identifier.doi10.1080/03610910600880450-
dc.identifier.wosWOS:000241285900011-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofCommunications In Statistics-simulation and Computation-
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