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Validation of prediction models: examining temporal and geographic stability of baseline risk and estimated covariate effects

  • Peter C. Austin1, 2, 3Email author,
  • David van Klaveren4, 5, 6,
  • Yvonne Vergouwe4,
  • Daan Nieboer4,
  • Douglas S. Lee1, 2, 7 and
  • Ewout W. Steyerberg4, 6
Diagnostic and Prognostic Research20171:12

Received: 20 September 2016

Accepted: 23 March 2017

Published: 13 April 2017

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Open Peer Review reports

Pre-publication versions of this article and author comments to reviewers are available by contacting

Original Submission
20 Sep 2016 Submitted Original manuscript
16 Jan 2017 Reviewed Reviewer Report - Michael Kattan
1 Feb 2017 Reviewed Reviewer Report - Maarten van Smeden
10 Mar 2017 Author responded Author comments - Peter Austin
Resubmission - Version 2
10 Mar 2017 Submitted Manuscript version 2
23 Mar 2017 Editorially accepted
13 Apr 2017 Article published 10.1186/s41512-017-0012-3

How does Open Peer Review work?

Open peer review is a system where authors know who the reviewers are, and the reviewers know who the authors are. If the manuscript is accepted, the named reviewer reports are published alongside the article. Pre-publication versions of the article and author comments to reviewers are available by contacting All previous versions of the manuscript and all author responses to the reviewers are also available.

You can find further information about the peer review system here.

Authors’ Affiliations

Institute for Clinical Evaluative Sciences
Institute of Health Policy, Management and Evaluation, University of Toronto
Schulich Heart Research Program, Sunnybrook Research Institute
Department of Public Health, Erasmus MC-University Medical Center Rotterdam
Predictive Analytics and Comparative Effectiveness Center, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center
Department of Medical Statistics and Bioinformatics, Leiden University Medical Center
Peter Munk Cardiac Centre and Joint Department of Medical Imaging, Division of Cardiology, Department of Medicine, University of Toronto