Beyond differences in means: robust graphical methods to compare two groups in neuroscience

Rousselet, G. , Pernet, C. R. and Wilcox, R. R. (2017) Beyond differences in means: robust graphical methods to compare two groups in neuroscience. European Journal of Neuroscience, 46(2), pp. 1738-1748. (doi: 10.1111/ejn.13610) (PMID:28544058)

141172.pdf - Accepted Version



If many changes are necessary to improve the quality of neuroscience research, one relatively simple step could have great pay-offs: to promote the adoption of detailed graphical methods, combined with robust inferential statistics. Here we illustrate how such methods can lead to a much more detailed understanding of group differences than bar graphs and t-tests on means. To complement the neuroscientist’s toolbox, we present two powerful tools that can help us understand how groups of observations differ: the shift function and the difference asymmetry function. These tools can be combined with detailed visualisations to provide complementary perspectives about the data. We provide implementations in R and Matlab of the graphical tools, and all the examples in the article can be reproduced using R scripts.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Rousselet, Dr Guillaume
Authors: Rousselet, G., Pernet, C. R., and Wilcox, R. R.
College/School:College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
Journal Name:European Journal of Neuroscience
ISSN (Online):1460-9568
Published Online:24 May 2017
Copyright Holders:Copyright © 2017 Federation of European Neuroscience Societies and John Wiley and Sons Ltd
First Published:First published in European Journal of Neuroscience 46(2): 1738-1748
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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