For A-TP1-vs-B-TP1, you just create a contrast (not a variable in the
FSGD). The design matrix from your FSGD will have 6+4=10 regressors. The
contrast for A-TP1-vs-B-TP1 would then be
1 -1 0 0 0 0 0 0 0 0
This computes the difference between Class A-TP1 and B-TP1
On 7/13/2021 11:07 AM, Ritobr
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Good morning Doug,
I am trying to create a contrast matrix (also attached as a text file) for
the following conditions -
I have two treatment arms A and B
For treatment arm A, I have subjects 1, 2, 3 imaged at TP1, TP2, TP3
For treatment arm B, I have
Yes, it will work on both. If you use a table, then pass the table with
--table tablefile instead of --y
On 7/12/2021 7:54 AM, Ritobrato Datta wrote:
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Good morning,
Thanks Doug for the answers. Quick naive question. The analyses I want
to perform are on v
External Email - Use Caution
Good morning,
Thanks Doug for the answers. Quick naive question. The analyses I want to
perform are on volumetric data parcellated using aseg and not surface data.
Does mri_glmfit work with the output of the asegstats2table or on voxelwise
FA maps ?
On 7/9/2021 11:44 AM, Ritobrato Datta wrote:
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Hi All,
I have the following data –
I have 205 subjects - each subject was imaged at 3 timepoints
(baseline, followup 1 and followup 2)
The 205 subjects are split in two treatment arms with 100 subjects in
External Email - Use Caution
Hi All,
I have the following data –
I have 205 subjects - each subject was imaged at 3 timepoints (baseline,
followup 1 and followup 2)
The 205 subjects are split in two treatment arms with 100 subjects in the
first one and 105 subjects in the sec
