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

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          Abstract

          To evaluate how often newly developed risk prediction models undergo external validation and how well they perform in such validations.

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          Author and article information

          Journal
          J Clin Epidemiol
          Journal of clinical epidemiology
          1878-5921
          0895-4356
          Jan 2015
          : 68
          : 1
          Affiliations
          [1 ] Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, University Campus, P.O. Box 1186, 45110 Ioannina, Greece.
          [2 ] Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, University Campus, P.O. Box 1186, 45110 Ioannina, Greece; Department of Epidemiology and Biostatistics, Imperial College London, Norfolk Place W2 1PG, London, United Kingdom.
          [3 ] Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA 02115, USA.
          [4 ] Department of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine, 1265 Welch Rd, MSOB X306, Stanford, CA 94305, USA; Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Statistics, Stanford University School of Humanities and Sciences, Stanford, CA 94305, USA. Electronic address: jioannid@stanford.edu.
          Article
          S0895-4356(14)00353-9
          10.1016/j.jclinepi.2014.09.007
          25441703
          16f3cd96-690a-4917-a74e-123381c3eb68
          Copyright © 2015 Elsevier Inc. All rights reserved.
          History

          Area under the receiver operating characteristics curve,Derivation study,Discrimination,External validation,Prognostic models,Risk prediction model

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