Functional mixed-effect models for electrophysiological responses

Davidson, Douglas

doi:10.1007/s11062-009-9079-y

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Functional mixed-effect models for electrophysiological responses

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Davidson, Douglas
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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https://link.springer.com/article/10.1007/s11062-009-9079-y
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Davidson, D. (2009). Functional mixed-effect models for electrophysiological responses. Neurophysiology, 41(1), 71-79. doi:10.1007/s11062-009-9079-y.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-B655-B

Abstract

In electro/psychophysiological experiments, linear mixed-effect modeling is an effective statistical technique for data repeatedly observed from the same experimental participants or stimulus items. This review describes the application of mixed-effect modeling to functional responses, in particular those observed in event-related EEG or MEG experiments, using a discrete wavelet transform. The technique is illustrated with a design with several covariates, and procedures for generating posterior samples and computing a Bayesian false discovery rate are described. © 2009 Springer Science+Business Media, Inc.