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New concepts of multiple tests and their use for evaluating high-dimensional EEG data.

New concepts of multiple tests and their use for evaluating high-dimensional EEG data. Research Abstract Details 

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  • New concepts of multiple tests and their use for evaluating high-dimensional EEG data. Abstract Text:

    claudia hemmelmannClaudia Hemmelmann,manfred hornManfred Horn,thomas Thomas , vollandt Vollandt,sabine weissSabine Weiss,

    Recently, new concepts of type I error control in multiple comparisons have been proposed, in addition to FWE and FDR control. We introduce these criteria and investigate in simulations how the powers of corresponding test procedures for multiple endpoints depend on various quantities such as number and correlation of endpoints, percentage of false hypotheses, etc. We applied the different multiple tests to EEG coherence data. We compared the memory encoding of subsequently recalled and not recalled nouns. The results show that subsequently recalled nouns elicited significantly higher coherence than not recalled ones.

    New concepts of multiple tests and their use for evaluating high-dimensional EEG data. Publishing Authors By Initials

    c hemmelmannC Hemmelmann,m hornM Horn,t T ,r vollandtR Vollandt,s weissS Weiss,

    For similar abstracts research abstracts see: abstracts research

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    New concepts of multiple tests and their use for evaluating high-dimensional EEG data. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Journal of neuroscience methods

    VOLUME: 142

    Page Numbers: 209-17

    Journal Abbreviation: J. Neurosci. Methods

    ISSN: 0165-0270

    DAY: 30

    MONTH: Mar

    YEAR: 2005

    New concepts of multiple tests and their use for evaluating high-dimensional EEG data. Information

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    LANGUAGE: eng

    NlmUniqueID: 7905558

    New concepts of multiple tests and their use for evaluating high-dimensional EEG data. Keywords Mesh Terms:

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    Grant and Affiliation Information for New concepts of multiple tests and their use for evaluating high-dimensional EEG data.

    AFFILIATION: Institute of Medical Statistics, Computer Sciences and Documentation, University of Jena, D-07740 Jena, Germany.

    Country: Netherlands

    Netherlands Research PublicationNetherlands Research Publication

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    MEDLINETA: J Neurosci Methods

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