Personalized risk-based screening for diabetic retinopathy: A multivariate approach versus the use of stratification rules.

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Bibliographic Details
Title: Personalized risk-based screening for diabetic retinopathy: A multivariate approach versus the use of stratification rules.
Authors: García-Fiñana M; Department of Biostatistics, Institute of Translational Medicine, University of Liverpool, Liverpool, UK., Hughes DM; Department of Biostatistics, Institute of Translational Medicine, University of Liverpool, Liverpool, UK., Cheyne CP; Department of Biostatistics, Institute of Translational Medicine, University of Liverpool, Liverpool, UK., Broadbent DM; Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK.; St Paul's Eye Unit, Royal Liverpool University Hospital, Liverpool, UK., Wang A; Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK., Komárek A; Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic., Stratton IM; Gloucestershire Retinal Research Group, Gloucestershire Hospitals NHS Foundation Trust, Cheltenham General Hospital, Cheltenham, UK., Mobayen-Rahni M; Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK.; Department of Medical Physics and Clinical Engineering, Royal Liverpool University Hospital, Liverpool, UK., Alshukri A; Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK., Vora JP; Diabetes and Endocrinology, Royal Liverpool University Hospital, Liverpool, UK., Harding SP; Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK.; St Paul's Eye Unit, Royal Liverpool University Hospital, Liverpool, UK.
Source: Diabetes, obesity & metabolism [Diabetes Obes Metab] 2019 Mar; Vol. 21 (3), pp. 560-568. Date of Electronic Publication: 2018 Oct 30.
Publication Type: Evaluation Study; Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 100883645 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1463-1326 (Electronic) Linking ISSN: 14628902 NLM ISO Abbreviation: Diabetes Obes Metab Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1463-1326
DOI:10.1111/dom.13552