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Everything you never wanted to know about circular analysis, but were afraid to ask

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Kriegeskorte, Nikolaus, Lindquist, Martin A., Nichols, Thomas E., Poldrack, Russell A. and Vul, Edward (2010) Everything you never wanted to know about circular analysis, but were afraid to ask. Journal of Cerebral Blood Flow and Metabolism, Vol.30 (No.9). pp. 1551-1557. doi:10.1038/jcbfm.2010.86

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Official URL: http://dx.doi.org/10.1038/jcbfm.2010.86

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Abstract

Over the past year, a heated discussion about 'circular' or 'nonindependent' analysis in brain imaging has emerged in the literature. An analysis is circular (or nonindependent) if it is based on data that were selected for showing the effect of interest or a related effect. The authors of this paper are researchers who have contributed to the discussion and span a range of viewpoints. To clarify points of agreement and disagreement in the community, we collaboratively assembled a series of questions on circularity herein, to which we provide our individual current answers in <= 100 words per question. Although divergent views remain on some of the questions, there is also a substantial convergence of opinion, which we have summarized in a consensus box. The box provides the best current answers that the five authors could agree upon.

Item Type: Journal Item
Subjects: Q Science > QA Mathematics
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions: Faculty of Science, Engineering and Medicine > Science > Statistics
Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH): Brain -- Imaging -- Statistical methods, Brain -- Magnetic resonance imaging, Circular data
Journal or Publication Title: Journal of Cerebral Blood Flow and Metabolism
Publisher: Nature Publishing Group
ISSN: 0271-678X
Official Date: September 2010
Dates:
DateEvent
September 2010Published
Volume: Vol.30
Number: No.9
Number of Pages: 7
Page Range: pp. 1551-1557
DOI: 10.1038/jcbfm.2010.86
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Description:

Review article

Data sourced from Thomson Reuters' Web of Knowledge

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