Permutation inference for canonical correlation analysis

Canonical correlation analysis (CCA) has become a key tool for population neuroimaging, allowing investigation of associations between many imaging and non-imaging measurements. As age, sex and other variables are often a source of variability not of direct interest, previous work has used CCA on re...

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Bibliographic Details
Main Authors: Anderson M. Winkler, Olivier Renaud, Stephen M. Smith, Thomas E. Nichols
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:NeuroImage
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920305516