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Three myths about risk thresholds for prediction models

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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.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Grampian Data Safe Haven (DaSH)en
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Medical Statisticsen
dc.date.accessioned2020-01-09T16:20:00Z
dc.date.available2020-01-09T16:20:00Z
dc.date.issued2019-10-25
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.description.statusPeer revieweden
dc.format.extent7
dc.format.extent1110391
dc.identifier154655536
dc.identifier32cc4e46-a219-4fe5-90d7-a35b431f2d0e
dc.identifier31651317
dc.identifier85074113909
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.doi10.1186/s12916-019-1425-3
dc.identifier.issn1741-7015
dc.identifier.otherPubMedCentral: PMC6814132
dc.identifier.otherORCID: /0000-0001-8905-2429/work/79059219
dc.identifier.urihttps://hdl.handle.net/2164/13490
dc.identifier.vol17en
dc.language.isoeng
dc.relation.ispartofBMC medicineen
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

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