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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?

Statistical methods for elimination of guarantee-time bias in cohort studies: a simulation study

Contributed equally
BMC Medical Research MethodologyBMC series – open, inclusive and trusted201717:126

https://doi.org/10.1186/s12874-017-0405-6

Received: 30 April 2017

Accepted: 2 August 2017

Published: 22 August 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
30 Apr 2017 Submitted Original manuscript
12 May 2017 Reviewed Reviewer Report - Adrian Barnett
23 May 2017 Reviewed Reviewer Report - Harriet Sommer
20 Jun 2017 Author responded Author comments - In Sung Cho
Resubmission - Version 2
20 Jun 2017 Submitted Manuscript version 2
24 Jun 2017 Reviewed Reviewer Report - Adrian Barnett
9 Jul 2017 Author responded Author comments - In Sung Cho
Resubmission - Version 3
9 Jul 2017 Submitted Manuscript version 3
Publishing
2 Aug 2017 Editorially accepted
22 Aug 2017 Article published 10.1186/s12874-017-0405-6

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)
Yonsei University, College of Medicine, Seoul, South Korea
(2)
Department of Biostatistics and Medical Informatics, Yonsei University College of Medicine, Seoul, South Korea
(3)
Department of Preventive Medicine, Eulji University College of Medicine, Seoul, South Korea
(4)
Department of Biostatistics, Graduate School of Public health, Yonsei University, Seoul, South Korea
(5)
Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea

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