o subtract tp1 from tp2 manually and pass the result to
mri_glmfit.” Would you please describe some more detail for me? And in the
paired analysis, if I have no covariates, what the mean.mtx should be?
I'm terribly sorry, and thanks again.
Livia Liu
2017-03-07 20:54 GMT+08:00 刘丽 :
&g
Dear FS experts，
I have two group and two times to do longitudinal cross analysis.
I looked your answer in
https://www.mail-archive.com/freesurfer@nmr.mgh.harvard.edu/msg45870.html
and
https://www.mail-archive.com/freesurfer@nmr.mgh.harvard.edu/msg52032.html
Sorry, I can’t understand what you said”
Dear Martin，
Thank you for your reply. I used a paired analysis to do "two groups two
times data of the longitudinal analysis".
But unfortunately, I did not make the results, and I use “mri_glmfit-sim”
to find 0 vertices in mask.
My files are as follows.
Fsgd 1: (pairs.fsgd)
GroupDescriptorFile
Dear FS experts,
I are analysing longitudinal data - the difference between 2 groups (1
and 2) with 2 time points for each group (0, 1 --all the same time
interval: a month).
I followed http://surfer.nmr.mgh.harvard.edu/fswiki/LinearMixedEffectsModels
and with Jorge's early reply in
http://www.
Dear FS experts,
I want to add some in my early mail.
If the contrast CM.C= [0 0 0 1] is designed for the interaction effect(time
and group).
How to design contrasts to do the main effect about the time and group?
CM.C=[0 1 0 1] and CM.C=[0 0 1 1]? Or other?
I wonder I may be wrong in designing mat
Dear Martin,
Thank you very much for your quick reply.
I use voxel-wise mixed model analysis, and I see different design:
lhstats = lme_mass_fit_vw(X,[1],Y,ni,lhcortex);Summary: Algorithm
did not converge at 0 percent of the total number of locations.
lhstats = lme_mass_fit_vw(X,[1 2],Y,ni,
Dear Martin,
Thank you very much again for your reply. I did better with your help, but
I am really sorry that I still have some questions.
1. I found there are positive and negative regions in the result “sig.mgh”
map. I wonder “lme_mass_F” is a kind of F analysis or T analysis in fact.
How to
Dear Martin,
Thank you so much for all the help that you had given me.
Kind regards,
Livia
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Dear FS experts,
I are analysing longitudinal data - the difference of the cortical
thickness, surface area and volume between 2 groups (1 and 0) with 2 time
points for each group (0, 1 --all the same time interval: a month).
I followed the page
http://surfer.nmr.mgh.harvard.edu/fswiki/LinearMixe
Dear FS experts,
I'd like to know that how FDR was used to correct for multiple comparisons.
I do FDR correction in two way in FreeSurfer.
1, Do the FDR correction in the qdec tool. And the page of “False Discovery
Rate” in the page “Multiple-Comparisons Correction in Qdec” was lost.
2, Use
ve me some help to response the question? Thank you
very much.
Kind regards,
Livia
2018-04-17 0:40 GMT+08:00 Douglas N. Greve :
> You can also use mri_fdr Run it with --help to get docs
>
>
> On 04/16/2018 10:23 AM, Livia Liu wrote:
> >
> > Dear FS experts,
> &g
u don't know which 5%. If the 5% came out of a big
> blob, probably you would not change your conclusion about that blob. If
> there were a few single voxels that were above threshold, you probably
> don't want to write your paper around it.
>
> On 4/16/18 11:42 PM, Livia Liu
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