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Neuroimage
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June 26, 2017
Reprint of 'A Comprehensive review of group level model performance in the presence of heteroscedasticity: Can a single model control Type I errors in the presence of outliers?'
Jeanette A Mumford
Social Cognitive and Affective Neuroscience
|
May 30, 2012
A power calculation guide for fMRI studies
Jeanette A Mumford
Neuroimage
|
December 29, 2016
A comprehensive review of group level model performance in the presence of heteroscedasticity: Can a single model control Type I errors in the presence of outliers?
Jeanette A Mumford
Neuroimage
|
May 26, 2009
Simple group fMRI modeling and inference
Jeanette A Mumford, Thomas Nichols
IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society
|
March 30, 2006
Modeling and inference of multisubject fMRI data
Jeanette A Mumford, Thomas Nichols
Neuroimage
|
October 9, 2007
Power calculation for group fMRI studies accounting for arbitrary design and temporal autocorrelation
Jeanette A Mumford, Thomas E Nichols
Neuroimage
|
October 22, 2013
Bayesian networks for fMRI: a primer
Jeanette A Mumford, Joseph D Ramsey
Social Cognitive and Affective Neuroscience
|
May 28, 2009
Independence in ROI analysis: where is the voodoo?
Russell A Poldrack, Jeanette A Mumford
Social Cognitive and Affective Neuroscience
|
November 6, 2008
Modeling group fMRI data
Jeanette A Mumford, Russell A Poldrack
Journal of Cognitive Neuroscience
|
July 15, 2017
How Do You See Me? The Neural Basis of Motivated Meta-perception
Taru Flagan, Jeanette A Mumford, Jennifer S Beer
Page
of 8
Search research articles
Search
Showing results (1-10 of 78) with videos related to
Sort By:
Page
of 8
Neuroimage
|
June 26, 2017
Reprint of 'A Comprehensive review of group level model performance in the presence of heteroscedasticity: Can a single model control Type I errors in the presence of outliers?'
Jeanette A Mumford
Social Cognitive and Affective Neuroscience
|
May 30, 2012
A power calculation guide for fMRI studies
Jeanette A Mumford
Neuroimage
|
December 29, 2016
A comprehensive review of group level model performance in the presence of heteroscedasticity: Can a single model control Type I errors in the presence of outliers?
Jeanette A Mumford
Neuroimage
|
May 26, 2009
Simple group fMRI modeling and inference
Jeanette A Mumford, Thomas Nichols
IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society
|
March 30, 2006
Modeling and inference of multisubject fMRI data
Jeanette A Mumford, Thomas Nichols
Neuroimage
|
October 9, 2007
Power calculation for group fMRI studies accounting for arbitrary design and temporal autocorrelation
Jeanette A Mumford, Thomas E Nichols
Neuroimage
|
October 22, 2013
Bayesian networks for fMRI: a primer
Jeanette A Mumford, Joseph D Ramsey
Social Cognitive and Affective Neuroscience
|
May 28, 2009
Independence in ROI analysis: where is the voodoo?
Russell A Poldrack, Jeanette A Mumford
Social Cognitive and Affective Neuroscience
|
November 6, 2008
Modeling group fMRI data
Jeanette A Mumford, Russell A Poldrack
Journal of Cognitive Neuroscience
|
July 15, 2017
How Do You See Me? The Neural Basis of Motivated Meta-perception
Taru Flagan, Jeanette A Mumford, Jennifer S Beer
Page
of 8