yes, where "stronger" means greater in magnitude ignoring the sign doug
On 2/17/14 10:41 AM, Yang, Daniel wrote:
I see. You are saying that the interpretation can be made in two ways:
blue/cyan =
the cortical thinning effect of Age is stronger in patients (vs. controls)
Or, the cortical thickening effect of Age is stronger in controls (vs. patients)
Thanks, Doug! Daniel
-- Daniel (Yung-Jui) Yang, Ph.D. Postdoctoral Researcher Yale Child Study Center New Haven, CT Tel: (203) 737-5454 E-mail: _yung-jui.yang@yale.edu_
On 2/17/14 9:55 AM, "Douglas Greve" <greve@nmr.mgh.harvard.edu mailto:greve@nmr.mgh.harvard.edu> wrote:
Yes, you should see cyan. Note that you would see cyan if group1 slope is 0 and group 2 slope is positive. Probably not a problem with age, but it is just something to think about. doug On 2/17/14 1:38 AM, Yang, Daniel wrote:Dear FreeSurfer developers and experts, If I have a binary factor (Group1: patients, Group2: controls) and a continuous variable (age), I know I can follow Contrast2 in the following wiki to test the interaction effect. http://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf2G1V Contrast2: [0 0 1 -1] tests if Age slope in patients (Group1) > controls (Group2), and if Age slope_Group1 - Age slope_Group2 > 0, I can see red/yellow. For example, cortical thickening is accelerated in patients (vs. controls). I am wondering how I can test for whether cortical thinning is accelerated in patients (vs. controls)? Here, the slope for Age would be negative. And if cortical thinning is accelerated in Group1 (vs. Group2), I should observe Age slope_Group1 < Age slope_Group2, that is, Age slope_Group1 - Age slope_Group2 < 0, thus, I should expect to see blue/cyan? Best, Daniel -- Daniel (Yung-Jui) Yang, Ph.D. Postdoctoral Researcher Yale Child Study Center New Haven, CT Tel: (203) 737-5454 E-mail: _yung-jui.yang@yale.edu_ _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.eduhttps://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer