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Nonparametric statistical testing of EEG- and MEG-data.

E. Maris, R. Oostenveld

2007.8.15JOURNAL OF NEUROSCIENCE METHODS

DOI: 10.1016/j.jneumeth.2007.03.024

tlooto Summary

This paper forms a null hypothesis and shows that the nonparametric test controls the false alarm rate under this null hypothesis, enabling neuroscientists to construct their own statistical test, maximizing the sensitivity to the expected effect.

Abstract

Abstract is not available.

Citation format

MARIS, E.; OOSTENVELD, R. Nonparametric statistical testing of EEG- and MEG-data. JOURNAL OF NEUROSCIENCE METHODS, 2007, 164 1: 177–90.