an extracting the means be done at the
whole-brain level? If we get the means and variances for each group, I'm
assuming we would need to use ROIs. Could you please clarify whether it's
possible to extract means across the whole brain?
Thank you,
Hannah
Re: [Freesurfer] We
variances for each group, I'm
> assuming we would need to use ROIs. Could you please clarify whether it's
> possible to extract means across the whole brain?
>
> Thank you,
> Hannah
>
>
>
> ___
> Freesurfer mailing
> listfreesur...@nmr.mgh.harvard.eduh
ase clarify
> whether it's possible to extract means across the whole brain? Thank
> you, Hannah ___ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu
> <mailto:Freesurfer@nmr.mgh.harvard.edu>
> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
> Re
means and variances for each group,
I'm assuming we would need to use ROIs. Could you please clarify
whether it's possible to extract means across the whole brain?
Thank you,
Hannah
Re: [Freesurfer] Welch's t-test for HOV violation
2019-03-13 Thread Greve, Douglas N.,Ph.D.
Hi H
Hi Hannah, please include the previous correspondence so that we have context.
Also, please remember to post to the list and not to us personally.
thanks!
doug
On 3/13/19 10:52 PM, Hannah CK wrote:
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Hi Dr. Greve,
Thank you for this response. Can extracting
I used to have this about 20 years ago, but I stopped supporting it when
it did not fit cleanly into the GLM ...
The shortest route is probably to do two separate analyses with
mri_glmfit, one for each group. This will output means and variances for
each group. Then use fscalc to compute maps o
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We are conducting t-test comparisons across groups in which there is a
large discrepancy in group sizes. HOV is violated. I've searched for ways
to run Welch's t-test in FreeSurfer (or a similar analysis that does not
assume homogeneity of variance) but
