Rusakov, Dmitri A;
(2022)
A misadventure of the correlation coefficient.
Trends Neurosciences
10.1016/j.tins.2022.09.009.
(In press).
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Abstract
The correlation coefficient gauges linear association between two variables. However, interpreting its value depends on the question at hand. This article argues that relying on the correlation coefficient may be irrelevant for many neuroscience research tasks. When the experimental dataset is contextually suitable for binning-averaging, other indicators of statistical association could prove more suitable.
Type: | Article |
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Title: | A misadventure of the correlation coefficient |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.tins.2022.09.009 |
Publisher version: | https://doi.org/10.1016/j.tins.2022.09.009 |
Language: | English |
Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Pearson’s R, binning, brain imaging, colocalisation, linear regression, statistical association |
UCL classification: | 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 > UCL Queen Square Institute of Neurology > Clinical and Experimental Epilepsy UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology |
URI: | https://discovery.ucl.ac.uk/id/eprint/10158629 |
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