Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/42234
Campo DC Valoridioma
dc.contributor.authorMoreno, E.en_US
dc.contributor.authorGirón, F. J.en_US
dc.contributor.authorVázquez-Polo, F. J.en_US
dc.date.accessioned2018-10-24T09:24:50Z-
dc.date.available2018-10-24T09:24:50Z-
dc.date.issued2016en_US
dc.identifier.issn0377-2217en_US
dc.identifier.urihttp://hdl.handle.net/10553/42234-
dc.description.abstractThe sampling information for the cost-effectiveness analysis typically comes from different health care centers, and, as far as we know, it is taken for granted that the distribution of the cost and the effectiveness does not vary across centers. We argue that this assumption is unrealistic, and prove that to not consider the sample heterogeneity will typically give misleading results. Consequently, a cost-effectiveness procedure for heterogeneous samples is here proposed. The proposed cost-effectiveness procedure consists of a Bayesian clustering to measure the sample heterogeneity, and a meta-analysis to account for the specific clustering structure of the data. Examples with real data illustrate this methodology for normal and lognormal models, and the results are compared with those we would obtain if homogeneity of the samples is assumed.en_US
dc.languageengen_US
dc.relation.ispartofEuropean Journal of Operational Researchen_US
dc.sourceEuropean Journal of Operational Research[ISSN 0377-2217],v. 254, p. 127-137en_US
dc.subject1206 Análisis numéricoen_US
dc.subject1209 Estadísticaen_US
dc.subject5302 Econometríaen_US
dc.subject.otherClusteringen_US
dc.subject.otherCost-effectivenessen_US
dc.subject.otherDecision processesen_US
dc.subject.otherHeterogeneous samplesen_US
dc.subject.otherMeta-analysisen_US
dc.titleCost-effectiveness analysis for heterogeneous samplesen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1016/j.ejor.2016.03.032
dc.identifier.scopus84979723091-
dc.identifier.isi000376817100012
dc.contributor.authorscopusid7202827673
dc.contributor.authorscopusid7006422246
dc.contributor.authorscopusid6602318225
dc.description.lastpage137-
dc.identifier.issue1-
dc.description.firstpage127-
dc.relation.volume254-
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.contributor.daisngid27720153
dc.contributor.daisngid658275
dc.contributor.daisngid29952969
dc.contributor.wosstandardWOS:Moreno, E
dc.contributor.wosstandardWOS:Giron, FJ
dc.contributor.wosstandardWOS:Vazquez-Polo, FJ
dc.date.coverdateOctubre 2016
dc.identifier.ulpgces
dc.description.sjr2,505
dc.description.jcr3,297
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR TIDES- 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.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNameVázquez Polo, Francisco José-
Colección:Artículos
Vista resumida

Citas SCOPUSTM   

2
actualizado el 24-mar-2024

Citas de WEB OF SCIENCETM
Citations

1
actualizado el 25-feb-2024

Visitas

21
actualizado el 30-sep-2023

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.