Hi Anderson,
I just read your very useful reply to this post and had a related question if you don't mind. When you wrote "add the nuisance back and fit the full model", am I correct to assume that this means that you are adding the residuals of the reduced model (as dependent variable)?
What if my design matrix looks like this
1 0 12
1 0 33
1 0 21
0 1 14
0 1 38
0 1 24
where the first two columns are two different groups and I test the contrast 0 0 1, what will happen to first two columns? Will this contrast be equivalent to testing a contrast 0 1 with the following design matrix?
1 12
1 33
1 21
1 14
1 38
1 24
or are the group columns somewhat regressed out?
Best regards,
Sam
########################################################################
To unsubscribe from the FSL list, click the following link:
https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=FSL&A=1
|