Dear Freesurfers,
If I understand correctly, the red (positive) means design*contrast>0; blue (negative) means design*contrast<0. Is this correct?
How should I interpret the color scales (signs) when my contrast has more than one rows? For example, I have one discrete factor with three levels, control, drug1 and drug2; and my test hypothesis is "Is there a group effect", with the following contrast 1 -1 0 1 0 -1
In this case, what does the color scale mean?
Thank you very much! Sincerely, Ye
On Fri, Sep 6, 2013 at 9:16 PM, Douglas Greve greve@nmr.mgh.harvard.eduwrote:
yes, that is correct doug
On 9/6/13 5:48 PM, Yang, Daniel wrote:
Hi FreeSurfer experts,
Let's say I have two class variables:
Sex (female, male) Dx (patient, control)
I see that the analysis results show the following:
Does the average thickness, accounting for Dx, diff between female and male? Red means: female > male Does the average thickness, accounting for Sex, diff between patient and control? Red means: patient > control Is there a Sex-Dx interaction in the mean thickness? Red means either (a) the female > male effect is stronger in patient (vs. control); or (b) the patient > control effect is stronger in female (vs. male)
Is my interpretation correct?
Thanks! Daniel
-- Yung-Jui "Daniel" Yang, PhD Postdoctoral Researcher Yale Child Study Center New Haven, CT (203) 737-5454
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