Literature DB >> 19261753

Reviewing scientific manuscripts: how much statistical knowledge should a reviewer really know?

James P Morton1.   

Abstract

In the sequel to their guidelines for reporting statistics in American Physiological Society journals, Curran-Everett and Benos highlighted that the initial guidelines of 2004 have had little effect on the statistical reporting practices of authors. In the present article, I suggest that the guidelines have also had little impact on both journal reviewers and editors. I present three cases of statistical reporting practices in which there appears to be considerable discrepancies between the author and reviewer and, moreover, inconsistencies between reviewers. I argue that for authors to comply with these guidelines, the initial challenge is to have a team of reviewers who are also willing to accept the unfamiliar. Indeed, the opinions of reviewers who are ill informed about relatively novel statistical methods and recommended reporting practices may have implications for the final editorial decision on the suitability of submitted manuscripts for publication.

Mesh:

Year:  2009        PMID: 19261753     DOI: 10.1152/advan.90207.2008

Source DB:  PubMed          Journal:  Adv Physiol Educ        ISSN: 1043-4046            Impact factor:   2.288


  7 in total

1.  Methods and Biostatistics: a concise guide for peer reviewers.

Authors:  A Kyrgidis; S Triaridis
Journal:  Hippokratia       Date:  2010-12       Impact factor: 0.471

2.  Standard error or standard deviation?

Authors:  Julien I E Hoffman
Journal:  Pediatr Cardiol       Date:  2015-04-02       Impact factor: 1.655

3.  Effects of multiple daily genistein treatments on delayed alternation and a differential reinforcement of low rates of responding task in middle-aged rats.

Authors:  Steven L Neese; Suren B Bandara; Daniel R Doerge; William G Helferich; Donna L Korol; Susan L Schantz
Journal:  Neurotoxicol Teratol       Date:  2011-09-14       Impact factor: 3.763

Review 4.  Practical notes on popular statistical tests in renal physiology.

Authors:  Mykola Mamenko; Daria V Lysikova; Denisha R Spires; Sergey S Tarima; Daria V Ilatovskaya
Journal:  Am J Physiol Renal Physiol       Date:  2022-07-14

5.  Consequences of common data analysis inaccuracies in CNS trauma injury basic research.

Authors:  Darlene A Burke; Scott R Whittemore; David S K Magnuson
Journal:  J Neurotrauma       Date:  2013-05-15       Impact factor: 5.269

Review 6.  Preanalytical investigations of phlebotomy: methodological aspects, pitfalls and recommendations.

Authors:  Cristiano Ialongo; Sergio Bernardini
Journal:  Biochem Med (Zagreb)       Date:  2017-02-15       Impact factor: 2.313

Review 7.  From Paper to Podium: Quantifying the Translational Potential of Performance Nutrition Research.

Authors:  Graeme L Close; Andreas M Kasper; James P Morton
Journal:  Sports Med       Date:  2019-02       Impact factor: 11.136

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.