Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/77440
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dc.contributor.authorNegrín Hernández, Miguel Ángelen_US
dc.contributor.authorMartel Escobar, María Carmenen_US
dc.contributor.authorVázquez Polo, Francisco Joséen_US
dc.date.accessioned2021-02-01T13:47:10Z-
dc.date.available2021-02-01T13:47:10Z-
dc.date.issued2021en_US
dc.identifier.issn1661-7827en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/77440-
dc.description.abstractIn meta-analysis, the structure of the between-sample heterogeneity plays a crucial role in estimating the meta-parameter. A Bayesian meta-analysis for binary data has recently been proposed that measures this heterogeneity by clustering the samples and then determining the posterior probability of the cluster models through model selection. The meta-parameter is then estimated using Bayesian model averaging techniques. Although an objective Bayesian meta-analysis is proposed for each type of heterogeneity, we concentrate the attention of this paper on priors over the models. We consider four alternative priors which are motivated by reasonable but different assumptions. A frequentist validation with simulated data has been carried out to analyze the properties of each prior distribution for a set of different number of studies and sample sizes. The results show the importance of choosing an adequate model prior as the posterior probabilities for the models are very sensitive to it. The hierarchical Poisson prior and the hierarchical uniform prior show a good performance when the real model is the homogeneity, or when the sample sizes are high enough. However, the uniform prior can detect the true model when it is an intermediate model (neither homogeneity nor heterogeneity) even for small sample sizes and few studies. An illustrative example with real data is also given, showing the sensitivity of the estimation of the meta-parameter to the model prior.en_US
dc.languageengen_US
dc.relationAportaciones A la Toma de Decisiones Bayesianas Óptimas: Aplicaciones Al Coste-Efectividad Con Datos Clínicos y Al Análisis de Riestos Con Datos Acturiales.en_US
dc.relation.ispartofInternational Journal of Environmental Research and Public Healthen_US
dc.sourceInternational Journal of Environmental Research and Public Health[ISSN 1661-7827],v. 18 (2), p. 1-18, (Enero 2021)en_US
dc.subject530202 Modelos econométricosen_US
dc.subject.otherBayesian Meta-Analysisen_US
dc.subject.otherBinary Dataen_US
dc.subject.otherClusteringen_US
dc.subject.otherFrequentist Validationen_US
dc.subject.otherPriorsen_US
dc.titleBayesian meta-analysis for binary data and prior distribution on modelsen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/ijerph18020809en_US
dc.identifier.scopus85099605654-
dc.contributor.authorscopusid57218865124-
dc.contributor.authorscopusid57203067729-
dc.contributor.authorscopusid6602318225-
dc.identifier.eissn1660-4601-
dc.description.lastpage18en_US
dc.identifier.issue2-
dc.description.firstpage1en_US
dc.relation.volume18en_US
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.date.coverdateEnero 2021en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-ECOen_US
dc.description.sjr0,747
dc.description.jcr3,39
dc.description.sjrqQ2
dc.description.jcrqQ1
dc.description.scieSCIE
dc.description.ssciSSCI
item.grantfulltextopen-
item.fulltextCon 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.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.orcid0000-0002-7074-6268-
crisitem.author.orcid0000-0002-7013-4747-
crisitem.author.orcid0000-0002-0632-6138-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNameNegrín Hernández, Miguel Ángel-
crisitem.author.fullNameMartel Escobar, María Carmen-
crisitem.author.fullNameVázquez Polo, Francisco José-
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