mne.stats.fdr_correction#

mne.stats.fdr_correction(pvals, alpha=0.05, method='indep')[source]#

P-value correction with False Discovery Rate (FDR).

Correction for multiple comparison using FDR [1].

This covers Benjamini/Hochberg for independent or positively correlated and Benjamini/Yekutieli for general or negatively correlated tests.

Parameters:

pvalsarray_like: Set of p-values of the individual tests.
alphafloat: Error rate.
method‘indep’ | ‘negcorr’: If ‘indep’ it implements Benjamini/Hochberg for independent or if ‘negcorr’ it corresponds to Benjamini/Yekutieli.

Returns:

rejectarray, bool: True if a hypothesis is rejected, False if not.
pval_correctedarray: P-values adjusted for multiple hypothesis testing to limit FDR.

References

Examples using `mne.stats.fdr_correction`#