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

Published on Oct 9, 2019in eLife7.551
· DOI :10.7554/ELIFE.48175
Tamar R. Makin21
Estimated H-index: 21
(UCL: University College London),
Jean-Jacques Orban de Xivry19
Estimated H-index: 19
(Katholieke Universiteit Leuven)
Abstract
: 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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