Hi,
I have a thresholding question:
Is it possible to estimate the false-positive rate corresponding to a given uncorrected p-value and minimum cluster size? Or, similarly, to estimate which minimum cluster size (number of voxels) is required to obtain a certain false positive rate (eg, .01) for a given uncorrected p-value (eg .001)?
AFNI and BrainVoyager have tools to calculate this, but I couldn’t find a way to do this in FSL. Does anyone know whether/how something like this is possible in FSL?
Thanks!
Marieke
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