Assuming you used y = pre-post, then the correlation is the correlation
between y and age, so if it is positive it means that the pre-post
difference is increasing with age
On 12/16/2021 2:45 PM, PDMD SRALab wrote:
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We are using the paired analysis approach as outlined here
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so yes we are subtracting the two time points explicitly and computing
a paired t-test as you suggested. I've attached both the first fsgd
file (pairs.fsgd) and the second fsgd file (paired-diff.fsgd) for
your reference.
Thanks for the help! - Doug M
On Fri, Dec 10, 2021 at 5:49 PM Douglas N. Greve
<dgr...@mgh.harvard.edu> wrote:
Can you say more about your approach? Are you subtracting the two
time points explicitly and computing a paired t? Or are you using
the repeated measures anova approach. Send the FSGD file
On 11/30/2021 11:04 AM, PDMD SRALab wrote:
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We are using a paired analysis approach to study cortical
thickness in a dataset with 2 timepoints (called pre-protocol and
post-protocol). Regarding the mean cluster summary (contrast: [1
0]), we understand positive values to mean pre > post (thinning)
and negative values to mean post > pre (thickening). The
covariate results are more difficult to interpret. For instance,
we’re interested in looking at the effects of age (contrast: [0
1]) on the cortical thickness results. In the age cluster
summary, is it fair to interpret positive results as positive
correlation (older subjects show more thickening) and negative
results as inverse correlation (older subjects show more
thinning) or is the interpretation more complex than this? We’re
getting mainly negative cluster results for age so this
interpretation may make sense, but we’d like more clarity. Thank
you for your help.
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