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A nonparametric random coefficient approach for life expectancy growth using a hierarchical mixture likelihood model with application to regional data from North Rhine-Westphalia (Germany)

  • Dankmar Böhning1Email author,
  • Sarah Karasek2,
  • Claudia Terschüren3,
  • Rolf Annuß3 and
  • Rainer Fehr3
BMC Medical Research Methodology201313:36

DOI: 10.1186/1471-2288-13-36

Received: 20 November 2012

Accepted: 21 February 2013

Published: 9 March 2013

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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 Nov 2012 Submitted Original manuscript
Resubmission - Version 2
Submitted Manuscript version 2
7 Jan 2013 Reviewed Reviewer Report - Peter van der heijden
11 Jan 2013 Reviewed Reviewer Report - Trifon Missov
16 Feb 2013 Author responded Author comments - Dankmar Boehning
Resubmission - Version 3
16 Feb 2013 Submitted Manuscript version 3
19 Feb 2013 Reviewed Reviewer Report - Peter van der heijden
Resubmission - Version 4
Submitted Manuscript version 4
21 Feb 2013 Editorially accepted
9 Mar 2013 Article published 10.1186/1471-2288-13-36

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.. 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

Southampton Statistical Sciences Research Institute, Mathematics and Medicine, University of Southampton
Institute of Statistics, Graz University of Technology
Landeszentrum Gesundheit Nordrhein-Westfalen / NRW Centre for Health