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Volumn 69, Issue , 2016, Pages 249-250

External validation is only needed when prediction models are worth it (Letter commenting on: J Clin Epidemiol. 2015;68:25-34)

Author keywords

[No Author keywords available]

Indexed keywords

EXTERNAL VALIDATION; HUMAN; LETTER; PREDICTION; PRIORITY JOURNAL; RETROSPECTIVE STUDY; SAMPLE SIZE; SELECTION BIAS; STUDY DESIGN; VALIDATION PROCESS; RISK; STATISTICAL MODEL;

EID: 84952629549     PISSN: 08954356     EISSN: 18785921     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2015.01.022     Document Type: Letter
Times cited : (9)

References (2)
  • 1
    • 84915818745 scopus 로고    scopus 로고
    • External validation of new risk prediction models is infrequent and reveals worse prognostic discrimination
    • G.C. Siontis, I. Tzoulaki, P.J. Castaldi, and J.P. Ioannidis External validation of new risk prediction models is infrequent and reveals worse prognostic discrimination J Clin Epidemiol 68 2015 25 34
    • (2015) J Clin Epidemiol , vol.68 , pp. 25-34
    • Siontis, G.C.1    Tzoulaki, I.2    Castaldi, P.J.3    Ioannidis, J.P.4
  • 2
    • 84860159431 scopus 로고    scopus 로고
    • Risk prediction models: II. External validation, model updating, and impact assessment
    • K.G. Moons, A.P. Kengne, D.E. Grobbee, P. Royston, Y. Vergouwe, D.G. Altman, and et al. Risk prediction models: II. External validation, model updating, and impact assessment Heart 98 9 2012 691 698
    • (2012) Heart , vol.98 , Issue.9 , pp. 691-698
    • Moons, K.G.1    Kengne, A.P.2    Grobbee, D.E.3    Royston, P.4    Vergouwe, Y.5    Altman, D.G.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.