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BMC Medical Research Methodology

Open Access
Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

A nonparametric multiple imputation approach for missing categorical data

BMC Medical Research MethodologyBMC series – open, inclusive and trusted201717:87

https://doi.org/10.1186/s12874-017-0360-2

Received: 27 September 2016

Accepted: 11 May 2017

Published: 6 June 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
27 Sep 2016 Submitted Original manuscript
31 Oct 2016 Reviewed Reviewer Report - Oya Kalaycioglu
11 Nov 2016 Reviewed Reviewer Report - Tim Morris
31 Jan 2017 Author responded Author comments - Chiu-Hsieh
Resubmission - Version 2
31 Jan 2017 Submitted Manuscript version 2
17 Feb 2017 Reviewed Reviewer Report - Tim Morris
6 Mar 2017 Reviewed Reviewer Report - Oya Kalaycioglu
15 Apr 2017 Author responded Author comments - Chiu-Hsieh
Resubmission - Version 3
15 Apr 2017 Submitted Manuscript version 3
20 Apr 2017 Reviewed Reviewer Report - Tim Morris
5 May 2017 Author responded Author comments - Chiu-Hsieh
Resubmission - Version 4
5 May 2017 Submitted Manuscript version 4
Publishing
11 May 2017 Editorially accepted
6 Jun 2017 Article published 10.1186/s12874-017-0360-2

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 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)
Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, USA
(2)
Division of Research and Methodology, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, USA
(3)
Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, USA

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