title: The anova to mixed model transition.
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.
authors.affiliation: Movement Control and Neuroplasticity Research Group, Department of Kinesiology, Biomedical Sciences Group, KU Leuven, Leuven, Belgium. Electronic address: matthieu.boisgontier@faber.kuleuven.be.
authors.forename: Matthieu P
authors.initials: MP
authors.lastname: Boisgontier
authors.affiliation: Methodology and Data Analysis Research Group, Faculty of Psychology and Educational Sciences (FAPSE), Geneva University, Geneva, Switzerland.
authors.forename: Boris
authors.initials: B
authors.lastname: Cheval
mesh_terms: D000704:Analysis of Variance; D015233:Models, Statistical
keywords: Analysis of variance; Linear mixed-effects models; Neuroscience; Statistics