[pymvpa] effect size (in lieu of zscore)

Mike E. Klein michaeleklein at gmail.com
Fri Jan 6 22:54:10 UTC 2012

Hi all,

Thanks again for the continued help. I think the skews are for the reasons
suggested here… I'm seeing them in a couple subjects in the positive
direction as well as the negative, and I've made quite certain that my
preprocessing is correct. I'll be mindful of the histos and, for now,
continue on with analyses!

Best and thanks again,

On Wed, Jan 4, 2012 at 6:13 PM, Francisco Pereira <
francisco.pereira at gmail.com> wrote:

> On Wed, Jan 4, 2012 at 6:04 PM, J.A. Etzel <jetzel at artsci.wustl.edu>
> wrote:
> >
> > Non-independence is definitely a big issue (not the only one,
> unfortunately).
> It's most definitely an issue. Michael Hanke helped me think about
> this and we tried to suggest one possibility for testing for the
> presence of that in page 7 of
> http://www.princeton.edu/~fpereira/Papers/searchmight.pdf
> (pardon the self reference)
> There will be code to help diagnose this in the next version of
> Searchmight. That said, I think that this is more of a problem in
> terms of making results that are marginal appear significant, rather
> than introducing bias one way or another.
> > doesn't seem unusual to have a few subjects with below-chance
> classification
> > in large numbers of voxels; I don't think the current methods deal with
> this (or even explain it) very well.
> Right, with a large number of voxels where the underlying accuracy is
> at chance level a fraction of will them will appear much worse than
> chance, just as a fraction will appear much better than chance. With
> enough subjects...
> Francisco
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