Literature DB >> 21487486

Methods and Biostatistics: a concise guide for peer reviewers.

A Kyrgidis, S Triaridis.   

Abstract

The purpose of the Materials and Methods section of a scientific manuscript is to provide information in sufficient detail, so that another scientist working in the same field of endeavor is able to repeat the experiments and reproduce the results. Authors are entitled to a justified decision on the publication or not of their work. Thus, reviewers need to assure the authors that they have studied, correctly interpreted and fairly judged their work. This can be done by writing a short introductory paragraph in their critique, mentioning the type of study, the subjects recruited, the time and places the study was conducted, the interventions, the outcome measures and the statistical tests. All these information should be found in the methods section. If the reviewer cannot find these information, he needs not to read the whole article. Reading through the abstract and the methods section, he can reject the article on good grounds. If the methods section is appropriate, then the whole article need to be further reviewed. In this manuscript we shall discuss several critical aspects of the methods and statistics from the reviewer's perspective to provide reviewers the knowledge basis to write the aforementioned introductory paragraph of their critique.

Keywords:  bias; guidelines; methods; peer review; statistics; study

Year:  2010        PMID: 21487486      PMCID: PMC3049416     

Source DB:  PubMed          Journal:  Hippokratia        ISSN: 1108-4189            Impact factor:   0.471


  38 in total

1.  Randomized, controlled trials, observational studies, and the hierarchy of research designs.

Authors:  J Concato; N Shah; R I Horwitz
Journal:  N Engl J Med       Date:  2000-06-22       Impact factor: 91.245

2.  Simpson's paradox and clinical trials: what you find is not necessarily what you prove.

Authors:  N S Abramson; S F Kelsey; P Safar; K Sutton-Tyrrell
Journal:  Ann Emerg Med       Date:  1992-12       Impact factor: 5.721

3.  The ongoing discussion regarding standard deviation and standard error.

Authors:  Bartholomew Kay
Journal:  Adv Physiol Educ       Date:  2008-12       Impact factor: 2.288

Review 4.  Reviewing scientific manuscripts: how much statistical knowledge should a reviewer really know?

Authors:  James P Morton
Journal:  Adv Physiol Educ       Date:  2009-03       Impact factor: 2.288

5.  Evaluation of heartburn and hoarseness with the Reflux Symptom Index.

Authors:  Athanassios Kyrgidis; Athanasia Printza
Journal:  Otolaryngol Head Neck Surg       Date:  2009-12       Impact factor: 3.497

6.  The ups and downs of peer review.

Authors:  Dale J Benos; Edlira Bashari; Jose M Chaves; Amit Gaggar; Niren Kapoor; Martin LaFrance; Robert Mans; David Mayhew; Sara McGowan; Abigail Polter; Yawar Qadri; Shanta Sarfare; Kevin Schultz; Ryan Splittgerber; Jason Stephenson; Cristy Tower; R Grace Walton; Alexander Zotov
Journal:  Adv Physiol Educ       Date:  2007-06       Impact factor: 2.288

7.  Flow cytofluorimetric determination of protein distribution throughout the cell cycle.

Authors:  S Khochbin; A Chabanas; P Albert; J J Lawrence
Journal:  Cytometry       Date:  1989-07

8.  Statistics review 7: Correlation and regression.

Authors:  Viv Bewick; Liz Cheek; Jonathan Ball
Journal:  Crit Care       Date:  2003-11-05       Impact factor: 9.097

9.  Statistics review 14: Logistic regression.

Authors:  Viv Bewick; Liz Cheek; Jonathan Ball
Journal:  Crit Care       Date:  2005-01-13       Impact factor: 9.097

Review 10.  Statistics review 6: Nonparametric methods.

Authors:  Elise Whitley; Jonathan Ball
Journal:  Crit Care       Date:  2002-09-13       Impact factor: 9.097

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  3 in total

1.  An instrument to assess the statistical intensity of medical research papers.

Authors:  Pentti Nieminen; Jorma I Virtanen; Hannu Vähänikkilä
Journal:  PLoS One       Date:  2017-10-20       Impact factor: 3.240

2.  COVID-19 research: quality of biostatistics.

Authors:  Michal Ordak
Journal:  Arch Med Sci       Date:  2021-12-08       Impact factor: 3.318

3.  Risk stratification and pathway analysis based on graph neural network and interpretable algorithm.

Authors:  Bilin Liang; Haifan Gong; Lu Lu; Jie Xu
Journal:  BMC Bioinformatics       Date:  2022-09-27       Impact factor: 3.307

  3 in total

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