Modeling for Intergroup Comparisons of Imaging Data

Intergroup comparisons pose unique challenges in the analysis of functional imaging data. Imperfections in intersubject stereotaxis can give rise to artifactual results and make it particularly important to allow for intersubject differences in task-related changes when formulating statistical model...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Fla.), 1996-12, Vol.4 (3), p.S84-S94
1. Verfasser:	Woods, Roger P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Brain Mapping Diagnostic Imaging - statistics & numerical data Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging - statistics & numerical data Models, Statistical Reference Values Sensitivity and Specificity Tomography, Emission-Computed - statistics & numerical data
Online-Zugang:	Volltext
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