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This article has Open Peer Review reports available.

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Assessing the impact of natural policy experiments on socioeconomic inequalities in health: how to apply commonly used quantitative analytical methods?

  • Yannan Hu1,
  • Frank J. van Lenthe1,
  • Rasmus Hoffmann1, 2,
  • Karen van Hedel1, 3 and
  • Johan P. Mackenbach1Email author
BMC Medical Research MethodologyBMC series – open, inclusive and trusted201717:68

DOI: 10.1186/s12874-017-0317-5

Received: 19 April 2016

Accepted: 2 March 2017

Published: 20 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 info@biomedcentral.com.

Original Submission
19 Apr 2016 Submitted Original manuscript
7 Sep 2016 Reviewed Reviewer Report - Arielle Selya
4 Oct 2016 Reviewed Reviewer Report - Murthy Mittinty
14 Nov 2016 Author responded Author comments - Yannan Hu
Resubmission - Version 2
14 Nov 2016 Submitted Manuscript version 2
25 Nov 2016 Reviewed Reviewer Report - Arielle Selya
6 Dec 2016 Reviewed Reviewer Report - Murthy Mittinty
12 Jan 2017 Author responded Author comments - Yannan Hu
Resubmission - Version 3
12 Jan 2017 Submitted Manuscript version 3
22 Feb 2017 Author responded Author comments - Yannan Hu
Resubmission - Version 4
22 Feb 2017 Submitted Manuscript version 4
Publishing
2 Mar 2017 Editorially accepted
20 Apr 2017 Article published 10.1186/s12874-017-0317-5

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 info@biomedcentral.com. 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

(1)
Erasmus MC
(2)
European University Institute
(3)
Max Planck Institute for Demographic Research

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