Robust statistics applied to EEG data #5: Correction for multiple comparisons

This is a series of videos on robust statistics applied to EEG data. This is part 5, which is about correction for multiple comparisons. 00:00 Why correct for multiple comparisons? 01:06 Overview of methods 02:07 Family-wise error rate 03:21 Holm-Bonferroni 05:07 False Discovery Rate 06:50 Single-step MaxT 08:34 Cluster method 12:04 TFCE method 13:36 Final comparison