Hi all-
I have been trying to determine the most appropriate way to set up an
interaction contrast for glmfit. For my purposes I'm interested in looking
at the interaction two performance variables while covarying demographics.
I have 2 classes set to male and female and the first columns in my fsgd
file are demeaned age and education.

I have found 3 ways people suggest setting up an interaction contrast:
1- Putting the contrast in one row:
0 0 0 0 -.5 -.5 .5 .5

2- Using two rows for the contrast:
0 0 0 0 .5 .5 0 0
0 0 0 0 0 0 .5 .5

3- Creating an actual interaction term where the values are multiplied
together in a new column of the fsgd file
0 0 0 0 0 0 0 0 .5 .5

I would be grateful to know how people set up this contrast. Also I would
like to know how you run it (positive or negative) and subsequently how you
interpret the results.


Thanks,
Sarah Banducci
_______________________________________________
Freesurfer mailing list
Freesurfer@nmr.mgh.harvard.edu
https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer


The information in this e-mail is intended only for the person to whom it is
addressed. If you believe this e-mail was sent to you in error and the e-mail
contains patient information, please contact the Partners Compliance HelpLine at
http://www.partners.org/complianceline . If the e-mail was sent to you in error
but does not contain patient information, please contact the sender and properly
dispose of the e-mail.

Reply via email to