Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48763
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dc.contributor.authorMoreno, Elías
dc.contributor.authorGirón, F. J.
dc.contributor.authorVázquez-Polo, F. J.
dc.contributor.authorNegrín, M. A.
dc.contributor.otherNegrin, Miguel
dc.contributor.otherVazquez Polo, Francisco Jose
dc.date.accessioned2018-11-24T00:43:32Z-
dc.date.available2018-11-24T00:43:32Z-
dc.date.issued2012
dc.identifier.issn0377-2217
dc.identifier.urihttp://hdl.handle.net/10553/48763-
dc.description.abstractThis paper deals with the decision problem of choosing an optimal medical treatment, among M possible candidates, when the states of nature are the net benefit of the treatments, and regression models for the treatment cost and effectiveness are assumed. In this setting a crucial step in the analysis is the construction of the population subgroups sharing characteristics specified by the covariates, so that optimal decisions are now not for the whole population of patients but for patient population subgroups.We argue that the existing formulations of population subgroups in the literature are too rigid and unrealistic for real applications, and instead we formulate the population subgroups on the base of selected "influential" covariates. The Bayesian variable selector we use is an optimal one under the 01 loss function, which means choosing the subset of covariates having the highest posterior probabilities based on the so-called intrinsic priors, an objective Bayesian tool that exhibits an excellent performance.For each population subgroup we study the optimal Bayesian decisions for two different utility functions. One optimal decision is that obtained maximizing the expected net benefit, and the other maximizing the expected number of times that the treatment having the highest net benefit is chosen.Illustrations of the procedure for real data show that the subset of influential covariates may vary across treatments. Subgroup optimal treatments are derived and compared with those given by preceding methods. (C) 2011 Elsevier B.V. All rights reserved.
dc.publisher0377-2217
dc.relation.ispartofEuropean Journal of Operational Research
dc.sourceEuropean Journal of Operational Research[ISSN 0377-2217],v. 218, p. 512-522
dc.subject.otherEffectiveness Acceptability Curves
dc.subject.otherSubgroup Analysis
dc.subject.otherBase-Line
dc.subject.otherTrial
dc.subject.otherUncertainty
dc.subject.otherAdjustment
dc.subject.otherFramework
dc.titleOptimal healthcare decisions: The importance of the covariates in cost-effectiveness analysis
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1016/j.ejor.2011.10.030
dc.identifier.scopus84855651120
dc.identifier.isi000300484400024
dcterms.isPartOfEuropean Journal Of Operational Research
dcterms.sourceEuropean Journal Of Operational Research[ISSN 0377-2217],v. 218 (2), p. 512-522
dc.contributor.authorscopusid7202827673
dc.contributor.authorscopusid7006422246
dc.contributor.authorscopusid6602318225
dc.contributor.authorscopusid9249657200
dc.description.lastpage522
dc.description.firstpage512
dc.relation.volume218
dc.type2Artículoes
dc.identifier.wosWOS:000300484400024
dc.contributor.daisngid27720153
dc.contributor.daisngid658275
dc.contributor.daisngid29952969
dc.contributor.daisngid1028174
dc.contributor.daisngid1285254
dc.identifier.investigatorRIDK-8293-2017
dc.identifier.investigatorRIDC-9730-2009
dc.contributor.wosstandardWOS:Moreno, E
dc.contributor.wosstandardWOS:Giron, FJ
dc.contributor.wosstandardWOS:Vazquez-Polo, FJ
dc.contributor.wosstandardWOS:Negrin, MA
dc.date.coverdateAbril 2012
dc.identifier.ulpgces
dc.description.sjr2,418
dc.description.jcr2,038
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.deptGIR Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0002-0632-6138-
crisitem.author.orcid0000-0002-7074-6268-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNameVázquez Polo, Francisco José-
crisitem.author.fullNameNegrín Hernández, Miguel Ángel-
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