Bayesian nonparametric approaches for roc curve inference

The development of medical diagnostic tests is of great importance in clinical practice, public health, and medical research. The receiver operating characteristic (ROC) curve is a popular tool for evaluating the accuracy of such tests. We review Bayesia

Bibliographic Details
Authors: Inacio de Carvalho, Vanda, Jara-Vallejos, Alejandro Antonio, de Carvalho, Miguel
Format: article
Status:Published version
Publication Date:2014
Country:Chile
Language:English
OAI Identifier:oai:repositorio.anid.cl:10533/228509
Online Access:https://hdl.handle.net/10533/228509
Access Level:Open access
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spelling de Carvalho, MiguelJara-Vallejos, Alejandro AntonioInacio de Carvalho, Vanda201510.1007/978-3-319-19518-6_16https://hdl.handle.net/10533/228509http://purl.org/coar/access_right/c_abf2Bayesian nonparametric approaches for roc curve inferenceInacio de Carvalho, VandaJara-Vallejos, Alejandro Antoniode Carvalho, Miguel2018-11-29T15:36:47Z2022-07-07T15:54:00Z20142018-11-29T15:36:47Z2022-07-07T15:54:00Z2015The development of medical diagnostic tests is of great importance in clinical practice, public health, and medical research. The receiver operating characteristic (ROC) curve is a popular tool for evaluating the accuracy of such tests. We review BayesiaRegularFONDECYTFONDECYT11411931141193virtual::15531-1WOS:000376610800017https://hdl.handle.net/10533/228509engMitra, R.; Mueller, P.handle/10533/11155610.1007/978-3-319-19518-6_16handle/10533/111541handle/10533/108045https://pdfs.semanticscholar.org/9623/b605f2c5dc80b35f9c3f8a4803d079546946.pdf?_ga=2.32509949.250404332.1541440337-2142829917.1531499295Atribución-NoComercial-SinDerivadas 3.0 Chilehttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/info:eu-repo/semantics/openAccessBayesian nonparametric approaches for roc curve inferenceFrontiers in Probability and the Statistical SciencesArticuloinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttps://hdl.handle.net/10533/228509FONDECYThttp://purl.org/coar/resource_type/c_2df8fbb12c36f974-9d99-42a3-85a0-e9186227b27dvirtual::15531-12c36f974-9d99-42a3-85a0-e9186227b27dvirtual::15531-110533/228509oai:repositorio.anid.cl:10533/2285092023-07-24 19:14:18.182https://repositorio.anid.clRepositorio ANIDaletelier@anid.cl
dc.title.none.fl_str_mv Bayesian nonparametric approaches for roc curve inference
dc.title.journal.none.fl_str_mv Frontiers in Probability and the Statistical Sciences
title Bayesian nonparametric approaches for roc curve inference
spellingShingle Bayesian nonparametric approaches for roc curve inference
Inacio de Carvalho, Vanda
title_short Bayesian nonparametric approaches for roc curve inference
title_full Bayesian nonparametric approaches for roc curve inference
title_fullStr Bayesian nonparametric approaches for roc curve inference
title_full_unstemmed Bayesian nonparametric approaches for roc curve inference
title_sort Bayesian nonparametric approaches for roc curve inference
dc.creator.none.fl_str_mv Inacio de Carvalho, Vanda
Jara-Vallejos, Alejandro Antonio
de Carvalho, Miguel
author Inacio de Carvalho, Vanda
author_facet Inacio de Carvalho, Vanda
Jara-Vallejos, Alejandro Antonio
de Carvalho, Miguel
author_role author
author2 Jara-Vallejos, Alejandro Antonio
de Carvalho, Miguel
author2_role author
author
description The development of medical diagnostic tests is of great importance in clinical practice, public health, and medical research. The receiver operating characteristic (ROC) curve is a popular tool for evaluating the accuracy of such tests. We review Bayesia
publishDate 2014
dc.date.annoconcurso.none.fl_str_mv 2014
dc.date.issued.none.fl_str_mv 2015
dc.date.accessioned.none.fl_str_mv 2018-11-29T15:36:47Z
2022-07-07T15:54:00Z
dc.date.available.none.fl_str_mv 2018-11-29T15:36:47Z
2022-07-07T15:54:00Z
dc.type.none.fl_str_mv Articulo
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/article
dc.type.openaire.none.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.folio.none.fl_str_mv 1141193
1141193
dc.identifier.idwos.none.fl_str_mv WOS:000376610800017
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/10533/228509
identifier_str_mv 1141193
WOS:000376610800017
url https://hdl.handle.net/10533/228509
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.contest.none.fl_str_mv handle/10533/111556
dc.relation.doi.none.fl_str_mv 10.1007/978-3-319-19518-6_16
dc.relation.instrument.none.fl_str_mv handle/10533/111541
dc.relation.program.none.fl_str_mv handle/10533/108045
dc.relation.uri.none.fl_str_mv https://pdfs.semanticscholar.org/9623/b605f2c5dc80b35f9c3f8a4803d079546946.pdf?_ga=2.32509949.250404332.1541440337-2142829917.1531499295
dc.rights.none.fl_str_mv Atribución-NoComercial-SinDerivadas 3.0 Chile
http://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rights.driver.none.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial-SinDerivadas 3.0 Chile
http://creativecommons.org/licenses/by-nc-nd/3.0/cl/
eu_rights_str_mv openAccess
dc.publisher.editorial.none.fl_str_mv Mitra, R.; Mueller, P.
repository.name.fl_str_mv Repositorio ANID
repository.mail.fl_str_mv aletelier@anid.cl
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