Mixed-effect statistics for group analysis in fMRI: A nonparametric maximum likelihood approach
Abstract
This technical note describes a collection of test statistics accounting for estimation uncertainties at the within-subject level, that can be used as alternatives to the standard t statistic in one-sample random-effect analyses, i.e. when testing the mean effect of a population. We build such test statistics by estimating the across-subject distribution of the effects using maximum likelihood under a nonparametric mixed-effect model. For...
Paper Details
Title
Mixed-effect statistics for group analysis in fMRI: A nonparametric maximum likelihood approach
Published Date
Nov 1, 2007
Journal
Volume
38
Issue
3
Pages
501 - 510
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