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.

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

pvalues adjusted for multiple hypothesis testing to limit FDR

Notes

Reference: Genovese CR, Lazar NA, Nichols T. Thresholding of statistical maps in functional neuroimaging using the false discovery rate. Neuroimage. 2002 Apr;15(4):870-8.