mne.stats.bonferroni_correction¶

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

P-value correction with Bonferroni method.

Parameters:	pval : array_like set of p-values of the individual tests. alpha : float error rate
Returns:	reject : array, bool True if a hypothesis is rejected, False if not pval_corrected : array pvalues adjusted for multiple hypothesis testing to limit FDR

Examples using mne.stats.bonferroni_correction¶

FDR correction on T-test on sensor data

Permutation t-test on toy data with spatial clustering