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• W2033132417 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." @default.
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• W2033132417 date "2009-02-01" @default.
• W2033132417 modified "2023-09-27" @default.
• W2033132417 title "Functional Mixed-Effect Models for Electrophysiological Responses" @default.
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• W2033132417 doi "https://doi.org/10.1007/s11062-009-9079-y" @default.
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