Testable Hypotheses for Unbalanced Neuroimaging Data
نویسندگان
چکیده
منابع مشابه
Testable Hypotheses for Unbalanced Neuroimaging Data
Unbalanced group-level models are common in neuroimaging. Typically, data for these models come from factorial experiments. As such, analyses typically take the form of an analysis of variance (ANOVA) within the framework of the general linear model (GLM). Although ANOVA theory is well established for the balanced case, in unbalanced designs there are multiple ways of decomposing the sums-of-sq...
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ژورنال
عنوان ژورنال: Frontiers in Neuroscience
سال: 2016
ISSN: 1662-453X
DOI: 10.3389/fnins.2016.00270