eLife (Oct 2019)

Ten common statistical mistakes to watch out for when writing or reviewing a manuscript

  • Tamar R Makin,
  • Jean-Jacques Orban de Xivry

DOI
https://doi.org/10.7554/eLife.48175
Journal volume & issue
Vol. 8

Abstract

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Inspired by broader efforts to make the conclusions of scientific research more robust, we have compiled a list of some of the most common statistical mistakes that appear in the scientific literature. The mistakes have their origins in ineffective experimental designs, inappropriate analyses and/or flawed reasoning. We provide advice on how authors, reviewers and readers can identify and resolve these mistakes and, we hope, avoid them in the future.

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