Literature DB >> 20652522

Improved reporting of statistical design and analysis: guidelines, education, and editorial policies.

Madhu Mazumdar1, Samprit Banerjee, Heather L Van Epps.   

Abstract

A majority of original articles published in biomedical journals include some form of statistical analysis. Unfortunately, many of the articles contain errors in statistical design and/or analysis. These errors are worrisome, as the misuse of statistics jeopardizes the process of scientific discovery and the accumulation of scientific knowledge. To help avoid these errors and improve statistical reporting, four approaches are suggested: (1) development of guidelines for statistical reporting that could be adopted by all journals, (2) improvement in statistics curricula in biomedical research programs with an emphasis on hands-on teaching by biostatisticians, (3) expansion and enhancement of biomedical science curricula in statistics programs, and (4) increased participation of biostatisticians in the peer review process along with the adoption of more rigorous journal editorial policies regarding statistics. In this chapter, we provide an overview of these issues with emphasis to the field of molecular biology and highlight the need for continuing efforts on all fronts.

Mesh:

Substances:

Year:  2010        PMID: 20652522     DOI: 10.1007/978-1-60761-580-4_22

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  Assessing statistical competencies in clinical and translational science education: one size does not fit all.

Authors:  Robert A Oster; Christopher J Lindsell; Leah J Welty; Madhu Mazumdar; Sally W Thurston; Mohammad H Rahbar; Rickey E Carter; Bradley H Pollock; Andrew J Cucchiara; Elizabeth J Kopras; Borko D Jovanovic; Felicity T Enders
Journal:  Clin Transl Sci       Date:  2014-09-12       Impact factor: 4.689

2.  A regression-based differential expression detection algorithm for microarray studies with ultra-low sample size.

Authors:  Daniel Vasiliu; Samuel Clamons; Molly McDonough; Brian Rabe; Margaret Saha
Journal:  PLoS One       Date:  2015-03-04       Impact factor: 3.240

Review 3.  Important statistical points to improve and promote the methodology of the articles on medical sciences, particularly nephrology and kidney; a review article.

Authors:  Ali Ahmadi; Hamid Soori
Journal:  J Renal Inj Prev       Date:  2015-03-01

4.  Learning gaps among statistical competencies for clinical and translational science learners.

Authors:  Robert A Oster; Katrina L Devick; Sally W Thurston; Joseph J Larson; Leah J Welty; Paul J Nietert; Brad H Pollock; Gina-Maria Pomann; Heidi Spratt; Christopher J Lindsell; Felicity T Enders
Journal:  J Clin Transl Sci       Date:  2020-06-19
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.