A Bayesian Nonparametric Multiple Testing Procedure for Comparing Several Treatments Against a Control

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dc.contributor.authorGutierrez, Luis
dc.contributor.authorBarrientos, Andres F.
dc.contributor.authorGonzalez, Jorge
dc.contributor.authorTaylor-Rodriguez, Daniel
dc.date.accessioned2025-01-23T21:14:39Z
dc.date.available2025-01-23T21:14:39Z
dc.date.issued2019
dc.description.abstractWe propose a Bayesian nonparametric strategy to test for differences between a control group and several treatment regimes. Most of the existing tests for this type of comparison are based on the differences between location parameters. In contrast, our approach identifies differences across the entire distribution, avoids strong modeling assumptions over the distributions for each treatment, and accounts for multiple testing through the prior distribution on the space of hypotheses. The proposal is compared to other commonly used hypothesis testing procedures under simulated scenarios. Two real applications are also analyzed with the proposed methodology.
dc.fuente.origenWOS
dc.identifier.doi10.1214/18-BA1122
dc.identifier.eissn1936-0975
dc.identifier.issn1931-6690
dc.identifier.urihttps://doi.org/10.1214/18-BA1122
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/101052
dc.identifier.wosidWOS:000471001100002
dc.issue.numero2
dc.language.isoen
dc.pagina.final675
dc.pagina.inicio649
dc.revistaBayesian analysis
dc.rightsacceso restringido
dc.subjectBayes factor
dc.subjectDependent Dirichlet process
dc.subjectspike and slab priors
dc.subjectshift function
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleA Bayesian Nonparametric Multiple Testing Procedure for Comparing Several Treatments Against a Control
dc.typeartículo
dc.volumen14
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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