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.edu> wrote:
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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