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dc.contributor.authorWynants, Laure
dc.contributor.authorvan Smeden, Maarten
dc.contributor.authorMcLernon, David J
dc.contributor.authorTimmerman, Dirk
dc.contributor.authorSteyerberg, Ewout W
dc.contributor.authorVan Calster, Ben
dc.date.accessioned2020-01-09T16:20:00Z
dc.date.available2020-01-09T16:20:00Z
dc.date.issued2019-10-25
dc.identifier.citationWynants , L , van Smeden , M , McLernon , D J , Timmerman , D , Steyerberg , E W & Van Calster , B 2019 , ' Three myths about risk thresholds for prediction models ' , BMC medicine , vol. 17 , 192 . https://doi.org/10.1186/s12916-019-1425-3en
dc.identifier.issn1741-7015
dc.identifier.otherPURE: 154655536
dc.identifier.otherPURE UUID: 32cc4e46-a219-4fe5-90d7-a35b431f2d0e
dc.identifier.otherPubMed: 31651317
dc.identifier.otherPubMedCentral: PMC6814132
dc.identifier.otherScopus: 85074113909
dc.identifier.otherORCID: /0000-0001-8905-2429/work/79059219
dc.identifier.urihttps://hdl.handle.net/2164/13490
dc.descriptionAcknowledgments This work was developed as part of the international initiative of strengthening analytical thinking for observational studies (STRATOS). The objective of STRATOS is to provide accessible and accurate guidance in the design and analysis of observational studies (http://stratos-initiative.org/). Members of the STRATOS Topic Group ‘Evaluating diagnostic tests and prediction models’ are Gary Collins, Carl Moons, Ewout Steyerberg, Patrick Bossuyt, Petra Macaskill, David McLernon, Ben van Calster, and Andrew Vickers. Funding The study is supported by the Research Foundation-Flanders (FWO) project G0B4716N and Internal Funds KU Leuven (project C24/15/037). Laure Wynants is a post-doctoral fellow of the Research Foundation – Flanders (FWO). The funding bodies had no role in the design of the study, collection, analysis, interpretation of data, nor in writing the manuscript. Contributions LW and BVC conceived the original idea of the manuscript, to which ES, MVS and DML then contributed. DT acquired the data. LW analyzed the data, interpreted the results and wrote the first draft. All authors revised the work, approved the submitted version, and are accountable for the integrity and accuracy of the work.en
dc.format.extent7
dc.language.isoeng
dc.relation.ispartofBMC medicineen
dc.rightsOpen Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.en
dc.subjectClinical risk prediction modelen
dc.subjectThreshold, Decision support techniquesen
dc.subjectRisk, Data scienceen
dc.subjectDiagnosis, Prognosisen
dc.subjectR Medicineen
dc.subject.lccRen
dc.titleThree myths about risk thresholds for prediction modelsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Data Safe Havenen
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Medical Statisticsen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1186/s12916-019-1425-3


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