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dc.contributor.authorMarín Jiménez, Ana Eugenia
dc.contributor.authorRoldán Nofuentes, José Antonio
dc.date.accessioned2016-07-06T13:54:12Z
dc.date.available2016-07-06T13:54:12Z
dc.date.issued2014-12
dc.identifier.citationMarín Jiménez, Ana Eugenia; Roldán Nofuentes, José Antonio. Global hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing data. "SORT", Desembre 2014, vol. 38, núm. 2, p. 305-324.
dc.identifier.issn1696-2281
dc.identifier.urihttp://hdl.handle.net/2117/88560
dc.description.abstractIn this article, a global hypothesis test is studied to simultaneously compare the likelihood ratios of multiple binary diagnostic tests when in the presence of partial disease verification the missing data mechanism is ignorable. The hypothesis test is based on the chi-squared distribution. Simulation experiments were carried out to study the type I error and the power of the global hypothesis test when comparing the likelihood ratios of two and three diagnostic tests respectively. The results obtained were applied to the diagnosis of coronary stenosis.
dc.format.extent20 p.
dc.language.isoeng
dc.publisherInstitut d'Estadística de Catalunya
dc.relation.ispartofSORT. 2014, Vol. 38, Núm. 2
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.otherGlobal hypothesis test
dc.subject.otherpartial verification
dc.subject.otherpositive and negative likelihood ratio.
dc.titleGlobal hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing data
dc.typeArticle
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::62 Statistics::62P Applications
dc.rights.accessOpen Access
local.citation.publicationNameSORT
local.citation.volume38
local.citation.number2
local.citation.startingPage305
local.citation.endingPage324


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