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dc.contributor.authorPardo Fernández, Juan Carlos 
dc.contributor.authorRodríguez Álvarez, María Xosé
dc.contributor.authorKeilegom, Ingrid van
dc.date.accessioned2018-06-22T09:23:35Z
dc.date.available2018-06-22T09:23:35Z
dc.date.issued2014-03
dc.identifier.citationRevstat Statistical Journal, 12(1): 21-41 (2014)spa
dc.identifier.issn16456726
dc.identifier.urihttp://hdl.handle.net/11093/1007
dc.description.abstractIn this paper we review the literature on ROC curves in the presence of covariates. We discuss the different approaches that have been proposed in the literature to define, model, estimate and do asymptotics for ROC curves that incorporate covariates. For reasons of brevity, we mostly focus on nonparametric approaches, although some parametric and semiparametric methods are also discussed. We also analyze endocrinological data on the body mass index to illustrate the methodology. Finally, we mention some research topics that need further investigation or that are still unexplored.spa
dc.language.isoengspa
dc.publisherRevstat Statistical Journalspa
dc.titleA review on ROC curves in the presence of covariatesspa
dc.typearticlespa
dc.rights.accessRightsopenAccessspa
dc.publisher.departamentoEstatística e investigación operativaspa
dc.publisher.grupoinvestigacionInferencia Estatística, Decisión e Investigación Operativaspa
dc.subject.unesco12 Matemáticasspa
dc.date.updated2018-06-21T08:43:58Z
dc.computerCitationpub_title=Revstat Statistical Journal|volume=12|journal_number=1|start_pag=21|end_pag=41spa


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