Global hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing data

In 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. Simulat...

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Detalles Bibliográficos
Autores: Marín Jimenez, Ana Eugenia, Roldán Nofuentes, José Antonio
Tipo de recurso: artículo
Fecha de publicación:2014
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:128152
Acceso en línea:https://ddd.uab.cat/record/128152
Access Level:acceso abierto
Palabra clave:Global hypothesis test
Partial verification
Positive and negative likelihood ratio
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spelling Global hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing dataMarín Jimenez, Ana EugeniaRoldán Nofuentes, José AntonioGlobal hypothesis testPartial verificationPositive and negative likelihood ratioIn 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. 22014-01-0120142014-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/128152reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/3.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:1281522026-06-06T12:50:31Z
dc.title.none.fl_str_mv Global hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing data
title Global hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing data
spellingShingle Global hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing data
Marín Jimenez, Ana Eugenia
Global hypothesis test
Partial verification
Positive and negative likelihood ratio
title_short Global hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing data
title_full Global hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing data
title_fullStr Global hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing data
title_full_unstemmed Global hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing data
title_sort Global hypothesis test to compare the likelihood ratios of multiple binary diagnostic tests with ignorable missing data
dc.creator.none.fl_str_mv Marín Jimenez, Ana Eugenia
Roldán Nofuentes, José Antonio
author Marín Jimenez, Ana Eugenia
author_facet Marín Jimenez, Ana Eugenia
Roldán Nofuentes, José Antonio
author_role author
author2 Roldán Nofuentes, José Antonio
author2_role author
dc.subject.none.fl_str_mv Global hypothesis test
Partial verification
Positive and negative likelihood ratio
topic Global hypothesis test
Partial verification
Positive and negative likelihood ratio
description In 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.
publishDate 2014
dc.date.none.fl_str_mv 2
2014-01-01
2014
2014-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
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dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/128152
url https://ddd.uab.cat/record/128152
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/3.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
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