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Neurosci Biobehav Rev. 2016 Sep;68:1004-1005. doi: 10.1016/j.neubiorev.2016.05.034. Epub 2016 May 27.

The anova to mixed model transition.

Author information

1
Movement Control and Neuroplasticity Research Group, Department of Kinesiology, Biomedical Sciences Group, KU Leuven, Leuven, Belgium. Electronic address: matthieu.boisgontier@faber.kuleuven.be.
2
Methodology and Data Analysis Research Group, Faculty of Psychology and Educational Sciences (FAPSE), Geneva University, Geneva, Switzerland.

Abstract

A transition towards mixed models is underway in science. This transition started up because the requirements for using analyses of variances are often not met and mixed models clearly provide a better framework. Neuroscientists have been slower than others in changing their statistical habits and are now urged to act.

KEYWORDS:

Analysis of variance; Linear mixed-effects models; Neuroscience; Statistics

PMID:
27241200
DOI:
10.1016/j.neubiorev.2016.05.034
[Indexed for MEDLINE]

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