Your browser doesn't support javascript.
loading
Corrigendum to 'Identifying type 1 and 2 diabetes in research datasets where classification biomarkers are unavailable: assessing the accuracy of published approaches' [Journal of Clinical Epidemiology (2023) 34-44].
Thomas, Nicholas J; McGovern, Andrew; Young, Katherine G; Sharp, Seth A; Weedon, Michael N; Hattersley, Andrew T; Dennis, John; Jones, Angus G.
Affiliation
  • Thomas NJ; Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK; Department of Diabetes and Endocrinology, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK.
  • McGovern A; Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK; Department of Diabetes and Endocrinology, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK.
  • Young KG; Department of Diabetes and Endocrinology, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK.
  • Sharp SA; Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.
  • Weedon MN; Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.
  • Hattersley AT; Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK; Department of Diabetes and Endocrinology, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK.
  • Dennis J; Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.
  • Jones AG; Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK; Department of Diabetes and Endocrinology, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK.
J Clin Epidemiol ; 159: 356, 2023 Jul.
Article de En | MEDLINE | ID: mdl-37316353

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Screening_studies Langue: En Journal: J Clin Epidemiol Sujet du journal: EPIDEMIOLOGIA Année: 2023 Type de document: Article Pays de publication: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Screening_studies Langue: En Journal: J Clin Epidemiol Sujet du journal: EPIDEMIOLOGIA Année: 2023 Type de document: Article Pays de publication: États-Unis d'Amérique