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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Hlavní autoři: Anderson M. Winkler, Olivier Renaud, Stephen M. Smith, Thomas E. Nichols
Médium: Artigo
Jazyk:Inglês
Vydáno: Elsevier 2020-10-01
Edice:NeuroImage
Témata:
canonical Correlation analysis
Permutation test
Closed testing procedure
On-line přístup:http://www.sciencedirect.com/science/article/pii/S1053811920305516
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