Greenwood, DC and Freeman, JV (2015) How to spot a statistical problem: advice for a non-statistical reviewer. BMC Medicine, 13. 270. ISSN 1741-7015
Abstract
Statistical analyses presented in general medical journals are becoming increasingly sophisticated. BMC Medicine relies on subject reviewers to indicate when a statistical review is required. We consider this policy and provide guidance on when to recommend a manuscript for statistical evaluation. Indicators for statistical review include insufficient detail in methods or results, some common statistical issues and interpretation not based on the presented evidence. Reviewers are required to ensure that the manuscript is methodologically sound and clearly written. Within that context, they are expected to provide constructive feedback and opinion on the statistical design, analysis, presentation and interpretation. If reviewers lack the appropriate background to positively confirm the appropriateness of any of the manuscript’s statistical aspects, they are encouraged to recommend it for expert statistical review.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 Greenwood and Freeman. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
Keywords: | Completeness of reporting; Editorial policy; Peer review; Presentation; Professional competence; Publishing; Recommendations to reviewers; Reporting guidelines; Statistics |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Genetics, Health and Therapeutics (LIGHT) > Division of Epidemiology & Biostatistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Sep 2015 14:19 |
Last Modified: | 04 Nov 2015 10:16 |
Published Version: | http://dx.doi.org/10.1186/s12916-015-0510-5 |
Status: | Published |
Publisher: | BioMed Central |
Identification Number: | 10.1186/s12916-015-0510-5 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:90142 |