Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: An individual participant data meta-analysis

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  3. Smuk, M.
  4. Hooper, R.
  5. Chan, C.L.
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  7. Chappell, L.C.
  8. von Dadelszen, P.
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  23. Ramírez, J.A.
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  25. Daskalakis, G.
  26. Farrar, D.
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  30. da Silva Costa, F.
  31. Groen, H.
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  34. Skråstad, R.B.
  35. Salvesen, K.A.
  36. Haavaldsen, C.
  37. Nagata, C.
  38. Rumbold, A.R.
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  40. Askie, L.M.
  41. Smits, L.J.M.
  42. Vinter, C.A.
  43. Magnus, P.M.
  44. Eero, K.
  45. Villa, P.M.
  46. Jenum, A.K.
  47. Andersen, L.B.
  48. Norman, J.E.
  49. Ohkuchi, A.
  50. Eskild, A.
  51. Bhattacharya, S.
  52. McAuliffe, F.M.
  53. Galindo, A.
  54. Herraiz, I.
  55. Carbillon, L.
  56. Klipstein-Grobusch, K.
  57. Yeo, S.
  58. Teede, H.J.
  59. Browne, J.L.
  60. Moons, K.G.M.
  61. Riley, R.D.
  62. Thangaratinam, S.
  63. Montrer des auteurs +
Revue:
Health Technology Assessment

ISSN: 2046-4924,  1366-5278

Année de publication: 2020

Volumen: 24

Número: 72

Pages: 1-290

Type: Article

DOI: 10.3310/HTA24720 GOOGLE SCHOLAR lock_openAccès ouvert editor
La source de données: Scopus