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.
- alpha
float
Error rate.
- method‘indep’ | ‘negcorr’
If ‘indep’ it implements Benjamini/Hochberg for independent or if ‘negcorr’ it corresponds to Benjamini/Yekutieli.
- Returns
References
- 1
Christopher R. Genovese, Nicole A. Lazar, and Thomas Nichols. Thresholding of statistical maps in functional neuroimaging using the false discovery rate. NeuroImage, 15(4):870–878, 2002. doi:https://doi.org/10.1006/nimg.2001.1037.