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dc.contributor.authorBarrio, I.
dc.contributor.authorRodríguez-Álvarez, M.X. 
dc.contributor.authorMeira-Machado, L.
dc.contributor.authorEsteban, C.
dc.contributor.authorArostegui, I. 
dc.date.accessioned2017-04-21T05:47:46Z
dc.date.available2017-04-21T05:47:46Z
dc.date.issued2017-04
dc.identifier.issn1696-2281
dc.identifier.urihttp://hdl.handle.net/20.500.11824/664
dc.description.abstractThe Cox proportional hazards model is the most widely used survival prediction model for analysing timeto-event data. To measure the discrimination ability of a survival model the concordance probability index is widely used. In this work we studied and compared the performance of two different estimators of the concordance probability when a continuous predictor variable is categorised in a Cox proportional hazards regression model. In particular, we compared the c-index and the concordance probability estimator. We evaluated the empirical performance of both estimators through simulations. To categorise the predictor variable we propose a methodology which considers the maximal discrimination attained for the categorical variable. We applied this methodology to a cohort of patients with chronic obstructive pulmonary disease, in particular, we categorised the predictor variable forced expiratory volume in one second in percentage.en_US
dc.description.sponsorshipIT620-13 MTM2013-40941-P MTM2014-55966-P MTM2016-74931-P PEst-OE/MAT/UI0013/2014 PI020510 200111002 2005111008en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.subjectcategorisationen_US
dc.subjectprediction modelsen_US
dc.subjectcut pointen_US
dc.subjectCox modelen_US
dc.titleComparison of two discrimination indexes in the categorisation of continuous predictors in time-to-event studiesen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.relation.publisherversionhttp://www.idescat.cat/sort/sort411/41.1.3.barrio-etal.prov.pdfen_US
dc.relation.projectIDES/1PE/SEV-2013-0323en_US
dc.relation.projectIDEUS/BERC/BERC.2014-2017en_US
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersionen_US
dc.journal.titleSORT (Statistics and Operations Research Transactions)en_US


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Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España