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The Conway-Maxwell-Poisson-generalized gamma regression model with long-term survivors

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dc.contributor.authorCancho, Vicente G.
dc.contributor.authorOrtega, Edwin M. M.
dc.contributor.authorBarriga, Gladys Dorotea Cacsire [UNESP]
dc.contributor.authorHashimoto, Elizabeth M.
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:27:10Z
dc.date.available2014-05-20T13:27:10Z
dc.date.issued2011-01-01
dc.description.abstractIn this paper, we proposed a flexible cure rate survival model by assuming the number of competing causes of the event of interest following the Conway-Maxwell distribution and the time for the event to follow the generalized gamma distribution. This distribution can be used to model survival data when the hazard rate function is increasing, decreasing, bathtub and unimodal-shaped including some distributions commonly used in lifetime analysis as particular cases. Some appropriate matrices are derived in order to evaluate local influence on the estimates of the parameters by considering different perturbations, and some global influence measurements are also investigated. Finally, data set from the medical area is analysed.en
dc.description.affiliationESALQ USP, Dept Ciencias Exatas, Piracicaba, Brazil
dc.description.affiliationICMC USP, Dept Matemat Aplicada & Estat, BR-13560970 São Carlos, SP, Brazil
dc.description.affiliationFEB UNESP, Dept Prod Engn, Bauru, Brazil
dc.description.affiliationUnespFEB UNESP, Dept Prod Engn, Bauru, Brazil
dc.format.extent1461-1481
dc.identifierhttp://dx.doi.org/10.1080/00949655.2010.491827
dc.identifier.citationJournal of Statistical Computation and Simulation. Abingdon: Taylor & Francis Ltd, v. 81, n. 11, p. 1461-1481, 2011.
dc.identifier.doi10.1080/00949655.2010.491827
dc.identifier.issn0094-9655
dc.identifier.lattes5267593860042306
dc.identifier.urihttp://hdl.handle.net/11449/8861
dc.identifier.wosWOS:000299726700008
dc.language.isoeng
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofJournal of Statistical Computation and Simulation
dc.relation.ispartofjcr0.869
dc.relation.ispartofsjr0,704
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectCOM-Poisson distributionsen
dc.subjectcure fraction modelsen
dc.subjectgeneralized gamma distributionsen
dc.subjectsensitivity analysisen
dc.subjectlifetime dataen
dc.titleThe Conway-Maxwell-Poisson-generalized gamma regression model with long-term survivorsen
dc.typeArtigo
dcterms.licensehttp://journalauthors.tandf.co.uk/permissions/reusingOwnWork.asp
dcterms.rightsHolderTaylor & Francis Ltd
dspace.entity.typePublication
unesp.author.lattes5267593860042306
unesp.author.orcid0000-0003-3999-7402[2]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Engenharia, Baurupt
unesp.departmentEngenharia de Produção - FEBpt

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Bauru - FEB - Faculdade de Engenharia