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Simulation studies of power and Type I error of mass univariate statistics for ERP data

License: Other

MATLAB 70.36% Python 28.55% Shell 1.09%
statistics eeg event-related-potentials multiple-comparisons statistical-power cognitive-neuroscience matlab simulations simulation-studies

musim's Introduction

MUSim

AUTHOR
Eric Fields

CONTACT
[email protected]

Code to conduct simulation studies examining power and Type I error rate for various mass univariate approaches and traditional mean amplitude approaches for event-related potential (ERP) data. These simulations use real EEG noise and real ERP effects.

Simulations are conducted using the Factorial Mass Univariate Toolbox:
https://github.com/ericcfields/FMUT/wiki

The result of this work has been accepted for publication:
Fields, E. C., & Kuperberg, G. R. (2020). Having your cake and eating it too: Flexibility and power with mass univariate statistics for ERP data. Psychophysiology, 57(2), e13468. https://doi.org/10.1111/psyp.13468

Results and materials can be found on the OSF page:
https://osf.io/mktqj/

musim's People

Contributors

ericcfields avatar

musim's Issues

Chanlocs for open data

Hi!
Thanks for sharing the data, unfortunately the chanlocs are missing. You seem to load a different file in your scripts that contains an EEG lab structure with chanlocs, is it possible to share this as well?
Best, Bene

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