External validation of new risk prediction models is infrequent and reveals worse prognostic discrimination

To evaluate how often newly developed risk prediction models undergo external validation and how well they perform in such validations. We reviewed derivation studies of newly proposed risk models and their subsequent external validations. Study characteristics, outcome(s), and models' discrimi...

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Bibliographic Details
Published in:	Journal of clinical epidemiology Vol. 68; no. 1; pp. 25 - 34
Main Authors:	Siontis, George C.M., Tzoulaki, Ioanna, Castaldi, Peter J., Ioannidis, John P.A.
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 01.01.2015 Elsevier Limited
Subjects:	Area Under Curve Area under the receiver operating characteristics curve Biomarkers Clinical medicine Derivation study Discrimination Disease Epidemiology External validation Forecasting Humans Internal Medicine Models, Statistical Mortality Prediction models Probability Prognosis Prognostic models Reproducibility of Results Risk Risk prediction model Validation studies Risk prediction model Area under the receiver operating characteristics curve Derivation study Discrimination External validation Prognostic models
ISSN:	0895-4356, 1878-5921, 1878-5921
Online Access:	Get full text
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