Hello All,
I have a question about the randomise tool we are running and the
t-statistic results we are getting. We are looking at correlations between
a behavioral measure and FA values for 10 subjects using TBSS. We have
demeaned our behavioral measure, created a design matrix and run the following:
randomise -i all_FA_skeletonised -o tbss -m mean_FA_skeleton_mask -d
stats.mat -t stats.con –D -n 5000 --T2 -V
We get t-statistics that are too high for their corresponding p-values and
also, we are observing that the p-values and t-statistics don’t properly
correlate; as p-values decrease (become more significant), our t-statistic
is actually decreasing as well. Any insight or recommendations on this
would be greatly appreciated.
Thanks,
Ashley
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