There is not a set number as it depends on the size of your effect. If your effect size is 0, then no number of subjects is enough. To answer this question, you need a power analysis. Having said that, people often shoot for 20 because you get to the knee of the DOF-vs-p-value curve on a t-test.
Not sure what you mean by "intra-individual" analysis. doug On 07/09/2013 03:40 PM, Nooshin Zadeh wrote: > > Dear Freesurfer group > > I am interested to do group analysis on my data. If I want to do > inter-individual group analysis, what is the minimum number of > subjects I need to have? > Also if I want to do intra-individual analysis, what is the best way > in FS? I appreciate your time and your help. > > Thanks a lot, > > Nooshin > > > > _______________________________________________ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer -- Douglas N. Greve, Ph.D. MGH-NMR Center gr...@nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422 Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 www.nmr.mgh.harvard.edu/facility/filedrop/index.html Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/ _______________________________________________ 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.