FDR is not a one-side-fits-all kind of thing. It's based on data, and you have to look at your data to decide what threshold you want to use. The way you interpret FDR=.05 would be to ask yourself whether you would change your conclusions if *any* 5% of the voxels you declared active where actually false. If you have a big cluster, then you probably would not worry about it. If you had several small clusters, then you might think twice.

doug







Sasha Wolosin wrote:
Is this something you apply frequently at MGH?  What FDR value would you
typically require?

  
Doug Greve <[EMAIL PROTECTED]>  >>>
        

Currently, mris_glm does not attempt to correct for multiple 
comparisons, though this feature will be in the next release. In the 
mean time, you can correct for multiple comparisons using FDR in
tksurfer.



Sasha Wolosin wrote:

  
Dear all,
 I would like to learn more about group analysis using mris_glm.  How
does the program correct for the problem of multiple comparisons?  Is
there any way to determine the rate of false positives?
Thanks,
Sasha

Sasha Wolosin
Research Assistant
Developmental Cognitive Neurology
Kennedy Krieger Institute
707 N. Broadway
Baltimore, MD 21205
ph: (443) 923-9270
[EMAIL PROTECTED]



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Douglas N. Greve, Ph.D.
MGH-NMR Center
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