Literature DB >> 29966505

Statistical Guidance for Reviewers of Toxicologic Pathology.

Keith R Shockley1, Grace E Kissling1.   

Abstract

Study design, statistical analysis, interpretation of results, and conclusions should be a part of all research papers. Statistics are integral to each of these components and are therefore necessary to evaluate during manuscript peer review. Research published in Toxicological Pathology is often focused on animal studies that may seek to compare defined treatment groups in randomized controlled experiments or focus on the reliability of measurements and diagnostic accuracy of observed lesions from preexisting studies. Reviewers should distinguish scientific research goals that aim to test sufficient effect size differences (i.e., minimizing false positive rates) from common toxicologic goals of detecting a harmful effect (i.e., minimizing false negative rates). This journal comprises a wide range of study designs that require different kinds of statistical assessments. Therefore, statistical methods should be described in enough detail so that the experiment can be repeated by other research groups. The misuse of statistics will impede reproducibility.

Entities:  

Keywords:  biostatistics; manuscript peer review; statistical analysis; study design

Mesh:

Year:  2018        PMID: 29966505      PMCID: PMC6063795          DOI: 10.1177/0192623318785097

Source DB:  PubMed          Journal:  Toxicol Pathol        ISSN: 0192-6233            Impact factor:   1.902


  21 in total

1.  Guidelines for the design and statistical analysis of experiments using laboratory animals.

Authors:  Michael F W Festing; Douglas G Altman
Journal:  ILAR J       Date:  2002

2.  Best practices guideline: toxicologic histopathology.

Authors:  James W Crissman; Dawn G Goodman; Paul K Hildebrandt; Robert R Maronpot; Donald A Prater; Julia H Riley; William J Seaman; Daryl C Thake
Journal:  Toxicol Pathol       Date:  2004 Jan-Feb       Impact factor: 1.902

3.  Statistical Guidelines for Publishing in the Journal of Youth and Adolescence.

Authors:  Roger J R Levesque
Journal:  J Youth Adolesc       Date:  2015-10-28

4.  Reproducible research in statistics: A review and guidelines for the Biometrical Journal.

Authors:  Benjamin Hofner; Matthias Schmid; Lutz Edler
Journal:  Biom J       Date:  2015-12-29       Impact factor: 2.207

5.  Limit of blank, limit of detection and limit of quantitation.

Authors:  David A Armbruster; Terry Pry
Journal:  Clin Biochem Rev       Date:  2008-08

6.  Enhancing reproducibility.

Authors: 
Journal:  Nat Methods       Date:  2013-05       Impact factor: 28.547

Review 7.  Reporting guidance considerations from a statistical perspective: overview of tools to enhance the rigour of reporting of randomised trials and systematic reviews.

Authors:  Brian Hutton; Dianna Wolfe; David Moher; Larissa Shamseer
Journal:  Evid Based Ment Health       Date:  2017-03-31

Review 8.  Statistical reporting in the BJH: some dos and don'ts.

Authors:  Robert K Hills
Journal:  Br J Haematol       Date:  2016-11-18       Impact factor: 6.998

9.  Guidelines for standardizing and increasing the transparency in the reporting of biomedical research.

Authors:  Amir Maroof Khan
Journal:  J Thorac Dis       Date:  2017-08       Impact factor: 2.895

10.  Statistical guidelines for contributors to medical journals.

Authors:  D G Altman; S M Gore; M J Gardner; S J Pocock
Journal:  Br Med J (Clin Res Ed)       Date:  1983-05-07
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  1 in total

1.  Comparative Toxicogenomics of Glyphosate and Roundup Herbicides by Mammalian Stem Cell-Based Genotoxicity Assays and Molecular Profiling in Sprague-Dawley Rats.

Authors:  Robin Mesnage; Mariam Ibragim; Daniele Mandrioli; Laura Falcioni; Eva Tibaldi; Fiorella Belpoggi; Inger Brandsma; Emma Bourne; Emanuel Savage; Charles A Mein; Michael N Antoniou
Journal:  Toxicol Sci       Date:  2022-02-28       Impact factor: 4.849

  1 in total

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