title: On distance-based permutation tests for between-group comparisons.
abstract: Permutation tests based on distances among multivariate observations have found many applications in the biological sciences. Two major testing frameworks of this kind are multiresponse permutation procedures and pseudo-F tests arising from a distance-based extension of multivariate analysis of variance. In this article, we derive conditions under which these two frameworks are equivalent. The methods and equivalence results are illustrated by reanalyzing an ecological data set and by a novel application to functional magnetic resonance imaging data.
authors: Department of Child and Adolescent Psychiatry, New York University, New York 10016, USA. phil.reiss@nyumc.org
authors: Philip T
authors: PT
authors: Reiss
authors: M Henry H
authors: MH
authors: Stevens
authors: Zarrar
authors: Z
authors: Shehzad
authors: Eva
authors: E
authors: Petkova
authors: Michael P
authors: MP
authors: Milham
mesh_terms: D000704:Analysis of Variance; D004463:Ecology / Q000706:statistics & numerical data; D008279:Magnetic Resonance Imaging; D008722:Methods; D015233:Models, Statistical