Hi Jon , I think you should use a Hotelling ´s T2 statistic at each parcellation unit to account for the two variables you are using. Then you need to correct for the # of parcels. Alternatively, you may use False discovery rate correction. It is less stringent than Bonferroni correction.
Cheers Jorge Luis --- El vie, 20/11/09, Jonathan DuBois <jonathan.m.dub...@gmail.com> escribió: > De: Jonathan DuBois <jonathan.m.dub...@gmail.com> > Asunto: [Freesurfer] Bonferroni multiple comparison correction > Para: freesurfer@nmr.mgh.harvard.edu > Fecha: viernes, 20 de noviembre, 2009 18:37 > When > correcting for multiple comparisons with Bonferroni for FS > parcilation statistics, is it necessary to adjust for > all parcellations (35) or just the variables (in our case > mean thickness and surface area)? Assuming that no prior > hypothesis is used to constrain the number of > parcellations. > > Thanks > for you input! > > Jon > > -----Adjunto en línea a continuación----- > > _______________________________________________ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
