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dc.contributor.authorStock, Sarah J.
dc.contributor.authorHorne, Margaret A
dc.contributor.authorBruijn, Merel M.C.
dc.contributor.authorWhite, Helen
dc.contributor.authorHeggie, Robert
dc.contributor.authorWotherspoon, Lisa M.
dc.contributor.authorBoyd, Kathleen A.
dc.contributor.authorAucott, Lorna
dc.contributor.authorMorris, Rachel K.
dc.contributor.authorDorling, Jon
dc.contributor.authorJackson, Lesley
dc.contributor.authorChandiramani, Manju
dc.contributor.authorDavid, Anna L
dc.contributor.authorKhalil, Asma
dc.contributor.authorShennan, Andrew
dc.contributor.authorBaaren, Gert-Janvan
dc.contributor.authorVictoria, Hodgetts Morton
dc.contributor.authorLavender, Tina
dc.contributor.authorSchuit, Ewoud
dc.contributor.authorHarper-Clarke, Susan
dc.contributor.authorMol, Ben Willem J.
dc.contributor.authorRiley, Richard D.
dc.contributor.authorNorman, Jane Elizabeth
dc.contributor.authorNorrie, John
dc.date.accessioned2021-09-20T13:17:01Z
dc.date.available2021-09-20T13:17:01Z
dc.date.issued2021-09-01
dc.identifier.citationStock , S J , Horne , M A , Bruijn , M M C , White , H , Heggie , R , Wotherspoon , L M , Boyd , K A , Aucott , L , Morris , R K , Dorling , J , Jackson , L , Chandiramani , M , David , A L , Khalil , A , Shennan , A , Baaren , G-J , Victoria , H M , Lavender , T , Schuit , E , Harper-Clarke , S , Mol , B W J , Riley , R D , Norman , J E & Norrie , J 2021 , A prognostic model, including quantitative fetal fibronectin, to predict preterm labour : the QUIDS meta-analysis and prospective cohort study . vol. 25 (52) , NIHR Health Technology Assessment programme . https://doi.org/10.3310/hta25520en
dc.identifier.otherPURE: 200691838
dc.identifier.otherPURE UUID: 4bcec314-be62-4a48-b5f0-3e90264a0f79
dc.identifier.otherORCID: /0000-0001-6277-7972/work/100346213
dc.identifier.otherScopus: 85115983214
dc.identifier.urihttps://hdl.handle.net/2164/17107
dc.descriptionThis project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 25, No. 52. See the NIHR Journals Library website for further project information.en
dc.format.extent198
dc.language.isoeng
dc.publisherNIHR Health Technology Assessment programme
dc.rightsThis is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. https://creativecommons.org/licenses/by/4.0/en
dc.subjectR Medicineen
dc.subjectNational Institute for Health Research (NIHR)en
dc.subject.lccRen
dc.titleA prognostic model, including quantitative fetal fibronectin, to predict preterm labour : the QUIDS meta-analysis and prospective cohort studyen
dc.typeReporten
dc.contributor.institutionUniversity of Aberdeen.Health Services Research Uniten
dc.contributor.institutionUniversity of Aberdeen.Centre for Health Data Scienceen
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.3310/hta25520
dc.identifier.vol25en


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