General linear model

Known as: Multivariate regression, Multivariate regression model, Multivariate linear regression 
The general linear model is a statistical linear model.It may be written as where Y is a matrix with series of multivariate measurements, X is a… (More)
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Highly Cited
2014
Highly Cited
2014
Permutation methods can provide exact control of false positives and allow the use of non-standard statistics, making only weak… (More)
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Highly Cited
2014
Highly Cited
2014
The increase in spatiotemporal resolution of neuroimaging devices is accompanied by a trend towards more powerful multivariate… (More)
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Highly Cited
2013
Highly Cited
2013
Conventional group analysis is usually performed with Student-type t-test, regression, or standard AN(C)OVA in which the variance… (More)
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Highly Cited
2009
Highly Cited
2009
Near-infrared spectroscopy is a non-invasive neuroimaging method which uses light to measure changes in cerebral blood… (More)
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Highly Cited
2007
Highly Cited
2007
Statistical procedures based on the general linear model (GLM) share much in common with one another, both conceptually and… (More)
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Highly Cited
2007
Highly Cited
2007
A current limitation for imaging of brain function is the potential confound of anatomical differences or registration error… (More)
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Highly Cited
2007
Highly Cited
2007
Association analyses that exploit the natural diversity of a genome to map at very high resolutions are becoming increasingly… (More)
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Highly Cited
2003
Highly Cited
2003
We consider a regression setting where the response is a scalar and the predictor is a random function defined on a compact set… (More)
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Highly Cited
2001
Highly Cited
2001
The Motor-Free Visual Perception Test, revised (MVPT-R), provides a measure of visual perceptual processing. It involves… (More)
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Highly Cited
1996
Highly Cited
1996
Statistical parametric maps are spatially extended statistical processes that are used to test hypotheses about regionally… (More)
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