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Implementation Science

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The impact of a physician detailing and sampling program for generic atorvastatin: an interrupted time series analysis

Implementation Science201712:141

https://doi.org/10.1186/s13012-017-0671-z

Received: 8 February 2017

Accepted: 13 November 2017

Published: 25 November 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
8 Feb 2017 Submitted Original manuscript
30 Mar 2017 Reviewed Reviewer Report - Thomas Valente
19 Apr 2017 Reviewed Reviewer Report - Elena Atkinson
10 May 2017 Reviewed Reviewer Report - Silvina Arrossi
27 Jun 2017 Author responded Author comments - Heather Worthington
Resubmission - Version 2
27 Jun 2017 Submitted Manuscript version 2
13 Jul 2017 Reviewed Reviewer Report - Elena Atkinson
7 Aug 2017 Reviewed Reviewer Report - Silvina Arrossi
Resubmission - Version 3
Submitted Manuscript version 3
Publishing
13 Nov 2017 Editorially accepted
25 Nov 2017 Article published 10.1186/s13012-017-0671-z

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)
Centre for Health Services and Policy Research, School of Population and Public Health, Faculty of Medicine, The University of British Columbia
(2)
Department of Medicine, University of Alberta
(3)
School of Population and Public Health, Faculty of Medicine, The University of British Columbia
(4)
Manitoba Centre for Health Policy, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba
(5)
Department of Population Medicine, Harvard Medical School
(6)

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