Modelling non-proportional hazard for survival data with different systematic components

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dc.contributor.authorPrataviera, Fabio
dc.contributor.authorLoibel, Selene M. C. [UNESP]
dc.contributor.authorGrego, Kathleen F.
dc.contributor.authorOrtega, Edwin M. M.
dc.contributor.authorCordeiro, Gauss M.
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionInst Butantan
dc.contributor.institutionUniversidade Federal de Pernambuco (UFPE)
dc.date.accessioned2020-12-10T17:35:55Z
dc.date.available2020-12-10T17:35:55Z
dc.date.issued2020-06-30
dc.description.abstractWe propose a new extended regression model based on the logarithm of the generalized odd log-logistic Weibull distribution with four systematic components for the analysis of survival data. This regression model can be very useful and could give more realistic fits than other special regression models. We obtain the maximum likelihood estimates of the model parameters for censored data and address influence diagnostics and residual analysis. We prove empirically the importance of the proposed regression by means of a real data set (survival times of the captive snakes) from a study carried out at the Herpetology Laboratory of the Butantan Institute in Sao Paulo, Brazil.en
dc.description.affiliationUniv Sao Paulo, Dept Ciencias Exatas, Piracicaba, SP, Brazil
dc.description.affiliationUniv Estadual Paulista, Sao Paulo, SP, Brazil
dc.description.affiliationInst Butantan, Lab Herpetol, Sao Paulo, SP, Brazil
dc.description.affiliationUniv Fed Pernambuco, Dept Estat, Recife, PE, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Sao Paulo, SP, Brazil
dc.format.extent467-489
dc.identifierhttp://dx.doi.org/10.1007/s10651-020-00453-5
dc.identifier.citationEnvironmental And Ecological Statistics. Dordrecht: Springer, v. 27, n. 3, p. 467-489, 2020.
dc.identifier.doi10.1007/s10651-020-00453-5
dc.identifier.issn1352-8505
dc.identifier.urihttp://hdl.handle.net/11449/195478
dc.identifier.wosWOS:000544620000001
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofEnvironmental And Ecological Statistics
dc.sourceWeb of Science
dc.subjectCensored data
dc.subjectGeneralized odd log-logistic Weibull
dc.subjectMaximum likelihood
dc.subjectNon-proportional hazard
dc.subjectRegression model
dc.subjectSurvival analysis
dc.titleModelling non-proportional hazard for survival data with different systematic componentsen
dc.typeArtigo
dcterms.licensehttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dcterms.rightsHolderSpringer
unesp.author.orcid0000-0001-8190-1086[1]

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