Hi Gang, >From what I can tell, you can feed TFCE any statistic (t, f, r -- whatever) >that gets more significant as you get away from zero (positive or negative).
But as for caret_stats, we don't get much fancier than simple t- or f-stats (and the ANOVAs are one-way). For a stat that regresses stuff out, etc. you'll have to look elsewhere. And if you want to use TFCE, you'll have the added constraint that you need to randomize it so that you end up with 5k iterations or so, so you can build the max TFCE distribution. Maybe the FSL folks have figured out a way to write surface files as NIfTI and feed them to randomise. If you haven't already seen this, check it out: http://www.insight-journal.org/browse/publication/694 They didn't use TFCE, but their work is relevant. Donna PS Is this your paper: Mapping Region-Specific Longitudinal Cortical Surface Expansion from Birth to 2 Years of Age http://www.ncbi.nlm.nih.gov/pubmed/22923087 If so, well done! (If not, I'm sure yours will be great, too! ;-) On Sep 24, 2012, at 10:06 AM, gangli <[email protected]> wrote: > Hi Donna, > > I have used the TFCE method to generate some statistical meaningful results > on cortical asymmetries. Currently, we would like to investigate more details > in our subjects. > Is it possible to incorporate subjects information, such as brain volume, age > and sex, into the TFCE statistical method? Thanks a lot for your help. > > > Regards, > > > Gang > _______________________________________________ > caret-users mailing list > [email protected] > http://brainvis.wustl.edu/mailman/listinfo/caret-users _______________________________________________ caret-users mailing list [email protected] http://brainvis.wustl.edu/mailman/listinfo/caret-users
