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BMC Medical Research Methodology

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Towards evidence-based computational statistics: lessons from clinical research on the role and design of real-data benchmark studies

  • Anne-Laure Boulesteix1Email author,
  • Rory Wilson1 and
  • Alexander Hapfelmeier2
BMC Medical Research MethodologyBMC series – open, inclusive and trusted201717:138

Received: 18 May 2017

Accepted: 31 August 2017

Published: 9 September 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
18 May 2017 Submitted Original manuscript
9 Jun 2017 Reviewed Reviewer Report - Annamaria Guolo
10 Jul 2017 Reviewed Reviewer Report - Sylvie Chevret
1 Aug 2017 Author responded Author comments - Anne-Laure Boulesteix
Resubmission - Version 2
1 Aug 2017 Submitted Manuscript version 2
31 Aug 2017 Editorially accepted
9 Sep 2017 Article published 10.1186/s12874-017-0417-2

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 Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany
Institute of Medical Statistics and Epidemiology, Technical University Munich, Munich, Germany