| Multiplicative correction of subject effect as preprocessing for analysis of variance. | |
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MedLine Citation:
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PMID: 18334385 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The procedure of repeated-measures ANOVA assumes the linear model in which effects of both subjects and experimental conditions are additive. However, in electroencephalography and magnetoencephalography, there may be situations where subject effects should be considered to be multiplicative in amplitude. We propose a simple method to normalize such data by multiplying each subject's response by a subject-specific constant. This paper derives ANOVA tables for such normalized data. Present simulations show that this method performs ANOVA effectively including multiple comparisons provided that the data follows the multiplicative model. |
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Authors:
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Iku Nemoto; Masaya Abe; Makoto Kotani |
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Publication Detail:
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Type: Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: IEEE transactions on bio-medical engineering Volume: 55 ISSN: 0018-9294 ISO Abbreviation: IEEE Trans Biomed Eng Publication Date: 2008 Mar |
Date Detail:
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Created Date: 2008-03-12 Completed Date: 2008-04-15 Revised Date: 2009-11-11 |
Medline Journal Info:
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Nlm Unique ID: 0012737 Medline TA: IEEE Trans Biomed Eng Country: United States |
Other Details:
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Languages: eng Pagination: 941-8 Citation Subset: IM |
Affiliation:
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Department of Information Environment, Tokyo Denki Universiy, Inzai, Chiba 270-1382, Japan. nemoto@sie.dendai.ac.jp |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Analysis of Variance Brain / physiology* Data Interpretation, Statistical* Diagnosis, Computer-Assisted / methods Electroencephalography / methods* Evoked Potentials / physiology* Humans Magnetoencephalography / methods* Reproducibility of Results Sensitivity and Specificity Signal Processing, Computer-Assisted* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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