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Accurate and computationally efficient analysis of longitudinal fMRI data
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Nichols, Thomas E. and Waldorp, L. (2010) Accurate and computationally efficient analysis of longitudinal fMRI data. In: 17th Annual Meeting of the Organization for Human Brain Mapping, Barcelona, Spain, 10-14 Jun 2010
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Official URL: http://www2.warwick.ac.uk/fac/sci/statistics/staff...
Abstract
There is growing need for longitudinal analyses of structural and functional MRI data. Standard software, SPM and FSL in particular, cannot accurately model these data when there are k > 2 visits, and cannot accommodate between-subject covariates (e.g. gender) within their repeated measures models. In this work we propose the use of Ordinary Least Squares (OLS) combined with sandwich estimator (SwE) standard errors to provide fast and valid inferences. We compare this approach to the naive OLS (N-OLS) longitudinal model typically used in FSL & SPM, and Generalized Least Square (GLS). N-OLS is obtained by including subject indicator variables as covariates; while this is fast, it is only correct for balanced designs with a certain “compound symmetric” covariance structure, and it precludes fitting subject-level covariates. GLS is the gold standard (used in R’s lmer & SAS’s proc mix) but is slow and may fail to converge.
Item Type: | Conference Item (Poster) | ||||
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Subjects: | Q Science > QA Mathematics R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) |
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Library of Congress Subject Headings (LCSH): | Magnetic resonance imaging -- Longitudinal analysis, Brain -- Imaging -- Statistical methods, Magnetic resonance imaging -- Data processing | ||||
Official Date: | June 2010 | ||||
Dates: |
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Status: | Not Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Open Access (Creative Commons) | ||||
Conference Paper Type: | Poster | ||||
Title of Event: | 17th Annual Meeting of the Organization for Human Brain Mapping | ||||
Type of Event: | Other | ||||
Location of Event: | Barcelona, Spain | ||||
Date(s) of Event: | 10-14 Jun 2010 |
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