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Multivariate analysis (MVA) is a class of statistical and pattern recognition methods that involve the processing of data that contains multiple measurements per sample. MVA can be used to address a wide variety of medical neuroimaging-related challenges including identifying variables associated with a measure of clinical importance (i.e. patient outcome), creating diagnostic tests, assisting in characterizing developmental disorders, understanding disease etiology, development anddoi:10.1016/j.nicl.2015.09.017 pmid:26640765 pmcid:PMC4625213 fatcat:2sff6o4avrgudbwkepawwrbpta