Dear FreeSurfers, I’m comparing two groups (patients (N=45) and controls (N=93)) on cortical thickness using 34 parcelated areas in each hemisphere (i.e. 68 areas in total). When correcting for multiple comparisons using Bonferroni, only one area remains significant. Bonferroni is quite conservative (alpha needs to be lower than 0.05/68= 0.000735). Could you recommend any other, more lenient correction statistics for my data?
In a search through the literature, I encountered adjusted Bonferroni or Benjamini-Hochberg as alternatives. Do you think these would be useful statistics, or have I missed other, more appropriate ones? Thanks a lot, Anna _______________________________________________ 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.
