Non-invasive risk scores for prediction of type 2 diabetes (EPIC-InterAct): A validation of existing models

  1. Kengne, A.P.
  2. Beulens, J.W.J.
  3. Peelen, L.M.
  4. Moons, K.G.M.
  5. van der Schouw, Y.T.
  6. Schulze, M.B.
  7. Spijkerman, A.M.W.
  8. Griffin, S.J.
  9. Grobbee, D.E.
  10. Palla, L.
  11. Tormo, M.-J.
  12. Arriola, L.
  13. Barengo, N.C.
  14. Barricarte, A.
  15. Boeing, H.
  16. Bonet, C.
  17. Clavel-Chapelon, F.
  18. Dartois, L.
  19. Fagherazzi, G.
  20. Franks, P.W.
  21. Huerta, J.M.
  22. Kaaks, R.
  23. Key, T.J.
  24. Khaw, K.T.
  25. Li, K.
  26. Mühlenbruch, K.
  27. Nilsson, P.M.
  28. Overvad, K.
  29. Overvad, T.F.
  30. Palli, D.
  31. Panico, S.
  32. Quirós, J.R.
  33. Rolandsson, O.
  34. Roswall, N.
  35. Sacerdote, C.
  36. Sánchez, M.-J.
  37. Slimani, N.
  38. Tagliabue, G.
  39. Tjønneland, A.
  40. Tumino, R.
  41. van der A, D.L.
  42. Forouhi, N.G.
  43. Sharp, S.J.
  44. Langenberg, C.
  45. Riboli, E.
  46. Wareham, N.J.
  47. Show all authors +
Journal:
The Lancet Diabetes and Endocrinology

ISSN: 2213-8587

Year of publication: 2014

Volume: 2

Issue: 1

Pages: 19-29

Type: Article

DOI: 10.1016/S2213-8587(13)70103-7 GOOGLE SCHOLAR lock_openOpen access editor
Data source: Scopus