On 8/11/18 12:02 PM, Avi Gharehgazlou wrote:
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Thank you for your reply. I chose the 1.3 threshold based on LGI
papers in the ASD literature, but I will use 2.0.
2 is still too low. You'd need at least 3.
1. By permutation do you mean FDR correction?
no, permutation and FDR are different
2. If I use monte carlo at 2.0 (0.01 p-value) would this be okay for
LGI, or do you still recommend FDR correction?
No, 2 is too low. At least 3, and that may be too low. Permutation will
be better.
Many thanks,
Avi
On Fri, Aug 10, 2018 at 1:53 PM, Douglas Greve <dgr...@mgh.harvard.edu
<mailto:dgr...@mgh.harvard.edu>> wrote:
Each row is a subject and each column is a cluster. BTW, a
threshold of 1.3 is way too low for lGI. If you want to use a
threshold that low, you should use permutation instead of monte
carlo (in general, permutation is better, but certainly for lGI).
On 8/9/18 1:39 PM, Avi Gharehgazlou wrote:
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Hi experts,
I looked at association between LGI and a behavioural scale on
QDEC. after the analysis, to plot the significant clusters/
blobs, I wanted to export LGI values for each subject from each
significant blob and based on instructions in previous archives I
ran the following command line:
mri_glmfit-sim –glmdir (qdec output directory) --cache 1.3 abs
which generated a "cache.th13.abs.y.ocn.dat" file. This file
contains 3 columns and 36 rows. I'm assuming the values in the
three columns correspond to LGI values for each significant blob
for each subject? (I had 3 significant blobs and 36 participants)
Will you please confirm I am doing (and interpreting) this correctly?
Thanks so much,
Avi
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