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 appr
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We are using the paired analysis approach as outlined here (
https://secure-web.cisco.com/13QTl-VyyAVXvg-0pygxBoVuOM74Yxhp2T1X_88Q9Q9Lh3ZcBaZjKeNXs8tO5B1CS4fZtvL61gNWMgdPO9MHB-7POi_LxXSWFzwW6PtmuEw4Guc640z00rTXgigZmocb05oKYXRzVyV2jqBD-8cyE_B7Z6jdYzIaLDI
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 a
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Hello all - reposting this to see if anyone can help - thanks!
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
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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)
