Hi Him anshu,
I'm not sure if I follow the question. Do you mean you use the command
"cluster", or do you mean cluster-level inference in randomise? In any
case, no, there isn't a way, nor is it necessary, to specify the alpha
(significance level) before running the dual regression, because this is
to be done after you have produced the image with p-values, which
happens only at stage 3.
Remember that to use 0.05, you have to use 0.95, because the outputs are
always 1-p.
Regarding a default level, no, there isn't one, although it's common to
use 0.05 for the corrected p-values.
All the best,
Anderson
On 07/01/2014 13:34, Him anshu wrote:
> Hello Anderson,
> How I was using alpha value p<0.05 is after generation of dual regression maps (dr_stage3 maps), I use cluster to provide significant threshold level.
> Is there a phenomenon where we can provide significant threshold before dual regression so that dr_stage3 file would be generated according to our defined threshold level.
> By the way what is the default level of significance for dr_stage3_corrp_tstat ...nii.gz.
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