mne.stats.bonferroni_correction#

mne.stats.bonferroni_correction(pval, alpha=0.05)[source]#

P-value correction with Bonferroni method.

Parameters:

pvalarray_like: Set of p-values of the individual tests.
alphafloat: Error rate.

Returns:

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

Examples using `mne.stats.bonferroni_correction`#

Statistical inference

Statistical inference

FDR correction on T-test on sensor data

FDR correction on T-test on sensor data