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For each RSN, the resulting statistical map was thresholded at P = 0.05 and corrected for Family Wise Errors (FWE) employing threshold-free cluster enhancement (TFCE).
However, standard evaluations of large, multi-dimensional gene expression datasets need to apply very strict statistical thresholds to correct for family wise errors stemming from the very high number of multiple comparisons.
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Family wise error.
This provides a natural complement to conventional family wise error (FWE) control on local maxima.
This procedure keeps the family wise error rate.
All presented results are corrected p-values at p<.05 after controlling for family wise error rate.
This conclusion was based on the Bonferroni threshold (p = 0.05/3 = 0.017) for controlling a family wise error rate at 0.05.
The raw P values were adjusted by the Bonferroni method, which controls for the Family Wise Error Rate.
The level of significance in the group analysis was set at p<0.05 family wise error (FWE) corrected for multiple comparisons.
It is considered the simplest and most conservative method to control the family wise error rate.
A dataset was considered significant if it had a family wise error rate (FWER) < 0.05.
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