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¶