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Brain Signal AnalysisAdvances in Neuroelectric and Neuromagnetic Methods$
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Todd C. Handy

Print publication date: 2009

Print ISBN-13: 9780262013086

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262013086.001.0001

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PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use.date: 19 September 2021

Statistical Strategies for Translational ERP Studies

Statistical Strategies for Translational ERP Studies

Chapter:
(p.225) 9 Statistical Strategies for Translational ERP Studies
Source:
Brain Signal Analysis
Author(s):

Todd C. Handy

Lindsay S. Nagamatsu

Marla J. S. Mickleborough

Teresa Y. L. Liu-Ambrose

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262013086.003.0009

This chapter concentrates on the traditional least squares approach to equal means testing in general, and univariate repeated-measures ANOVA as typically applied to event-related potential (ERP) data sets in particular, and suggests that there is an advantage to using a multivariate, unpooled error approach to repeated measures ERP data sets. It reviews two key statistical advances that can enhance the accuracy and power of repeated-measures tests under conditions where the assumption of normality is untenable. The chapter shows that studying the clinical populations typical of translational research places one at increased risk for biased statistical tests when using general linear approaches to equal means testing.

Keywords:   ANOVA, event-related potential, normality, least squares, biased statistical tests

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