Hi Freesurfers,
I'm conducting a longitudinal analysis but have several subjects with a few
missing time points. The paradigm contained 4 time points in total, a
baseline that occurred prior to any treatment and 3 post-treatment time
points. All my subjects have baseline time points. However, a few
Hi Emma,
yes, you can use these subjects. In fact for linear mixed effects models
it makes even sense to include subjects that have only a single time
point (if that is the small minority of course). Simply follow the same
steps: cross for all time points, base (even if you include only a
sin
Thanks so much Martin!
On Mon, Sep 22, 2014 at 9:51 AM, Martin Reuter
wrote:
> Hi Emma,
>
> yes, you can use these subjects. In fact for linear mixed effects models
> it makes even sense to include subjects that have only a single time point
> (if that is the small minority of course). Simply f
Thanks for pointing me to the file and the help. I found the info I needed
there fro the cache.th13.abs.y.ocn.dat file.
For the partial correlation coefficient script fast_glm_pcc.m I could not
make it run however. I got this error:
Error using *
Inner matrix dimensions must agree.
Error in fas
