Makin, TR;
Orban de Xivry, J-J;
(2019)
Ten common statistical mistakes to watch out for when writing or reviewing a manuscript.
Elife
, 8
, Article e48175. 10.7554/eLife.48175.
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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.
| Type: | Article |
|---|---|
| Title: | Ten common statistical mistakes to watch out for when writing or reviewing a manuscript |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.7554/eLife.48175 |
| Publisher version: | https://doi.org/10.7554/eLife.48175 |
| Language: | English |
| Additional information: | This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited. |
| Keywords: | analysis, causality, neuroscience, none, null results, p-hacking, power, statistics |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Institute of Cognitive Neuroscience |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10083281 |
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