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Bayesian latent class models to estimate diagnostic test accuracies of COVID-19 tests

dc.creatorHartnack S., Eusebi P., Kostoulas P.en
dc.date.accessioned2023-01-31T08:27:56Z
dc.date.available2023-01-31T08:27:56Z
dc.date.issued2021
dc.identifier10.1002/jmv.26405
dc.identifier.issn01466615
dc.identifier.urihttp://hdl.handle.net/11615/73914
dc.description.abstract[No abstract available]en
dc.language.isoenen
dc.sourceJournal of Medical Virologyen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85089786366&doi=10.1002%2fjmv.26405&partnerID=40&md5=096a7b6f3cabb0fb099212777e022511
dc.subjectimmunoglobulin Gen
dc.subjectimmunoglobulin Men
dc.subjectBayesian latent class modelen
dc.subjectcoronavirus disease 2019en
dc.subjectdiagnostic testen
dc.subjectdiagnostic test accuracy studyen
dc.subjectgold standarden
dc.subjecthumanen
dc.subjectLetteren
dc.subjectMarkov chain Monte Carlo methoden
dc.subjectmathematical modelen
dc.subjectprevalenceen
dc.subjectprobabilityen
dc.subjectreverse transcription polymerase chain reactionen
dc.subjectsensitivity and specificityen
dc.subjectvalidityen
dc.subjectBayes theoremen
dc.subjectlatent class analysisen
dc.subjectstandarden
dc.subjectstatistical modelen
dc.subjectBayes Theoremen
dc.subjectCOVID-19en
dc.subjectDiagnostic Tests, Routineen
dc.subjectHumansen
dc.subjectLatent Class Analysisen
dc.subjectModels, Statisticalen
dc.subjectReference Standardsen
dc.subjectReverse Transcriptase Polymerase Chain Reactionen
dc.subjectSARS-CoV-2en
dc.subjectSensitivity and Specificityen
dc.subjectJohn Wiley and Sons Incen
dc.titleBayesian latent class models to estimate diagnostic test accuracies of COVID-19 testsen
dc.typeotheren


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