[FieldTrip] Why the general use of parametric test as observed test statistic for permutation cluster tests?
spa268 at nyu.edu
Wed Apr 15 18:17:41 CEST 2015
As far as I know this is just a default coded in fieldtrip, but can
easily be replaced (by using your own statfun rather than e.g.
depsamplesF, depsamplesT, etc.). According to Maris & Oostenveld
(2007), the observed statistic used to calculate clusters can be
anything, if I recall correctly.
> Message: 2
> Date: Wed, 15 Apr 2015 00:06:33 +0000
> From: Peter Goodin <pgoodin at swin.edu.au>
> To: "fieldtrip at science.ru.nl" <fieldtrip at science.ru.nl>
> Subject: [FieldTrip] Why the general use of parametric test as
> observed test statistic for permutation cluster tests?
> <A55BBE5A90EFC441A6FE147DF0DFE26E890F9252 at gsp-ex03.ds.swin.edu.au>
> Content-Type: text/plain; charset="us-ascii"
> Hi Fieldtrip list,
> I'm just wondering if someone can explain if there is a reasoning behind the
> general use of a parametric test to calculate the initial step in the
> permutation cluster test and not a non-parametric test (e.g t-test over Mann
> Whitey U)? Is it just due to the assumption of a Gaussian distribution or is
> there something deeper going on?
> Peter Goodin,
> BSc (Hons), Ph.D Candidate (submitted).
> Brain and Psychological Sciences Research Centre (BPsych)
> Swinburne University,
> Hawthorn, Vic, 3122
> Monash Alfred Psychiatry Research Centre (MAPrc)
> Level 4, 607 St Kilda Road,
> Melbourne 3004
New York University, Abu Dhabi
Neuroscience of Language Lab
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