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Controlling the familywise error rate in functional neuroimaging : a comparative review

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Nichols, Thomas E. and Hayasaka, Satoru (2003) Controlling the familywise error rate in functional neuroimaging : a comparative review. Statistical Methods in Medical Research, Vol.12 (No.5). pp. 419-446. doi:10.1191/0962280203sm341ra ISSN 09622802.

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Official URL: http://dx.doi.org/10.1191/0962280203sm341ra

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Abstract

Functional neuroimaging data embodies a massive multiple testing problem, where 100 000 correlated test statistics must be assessed. The familywise error rate, the chance of any false positives is the standard measure of Type I errors in multiple testing. In this paper we review and evaluate three approaches to thresholding images of test statistics: Bonferroni, random field and the permutation test. Owing to recent developments, improved Bonferroni procedures, such as Hochberg’s methods, are now applicable to dependent data. Continuous random field methods use the smoothness of the image to adapt to the severity of the multiple testing problem. Also, increased computing power has made both permutation and bootstrap methods applicable to functional neuroimaging. We evaluate these approaches on t images using simulations and a collection of real datasets. We find that Bonferroni-related tests offer little improvement over Bonferroni, while the permutation method offers substantial improvement over the random field method for low smoothness and low degrees of freedom. We also show the limitations of trying to find an equivalent number of independent tests for an image of correlated test statistics.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions: Faculty of Science, Engineering and Medicine > Science > Statistics
Library of Congress Subject Headings (LCSH): Brain -- Imaging -- Statistical methods, Brain -- Imaging -- Data processing, Error analysis (Mathematics)
Journal or Publication Title: Statistical Methods in Medical Research
Publisher: Sage
ISSN: 09622802
Official Date: 2003
Dates:
DateEvent
2003Published
Volume: Vol.12
Number: No.5
Page Range: pp. 419-446
DOI: 10.1191/0962280203sm341ra
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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