Estimating and testing variance components in a multi-level GLM

NeuroImage

Volumn 59, Issue 1, 2012, Pages 490-501

  Lindquist, Martin A ^a   Spicer, Julie ^a   Asllani, Iris ^a   Wager, Tor D ^b  

^a Och Spine at New York Presbyterian Hospitals   (United States)

^b UNIVERSITY OF COLORADO   (United States)

Author keywords

fMRI; Iterative generalized least squares; Likelihood ratio tests; Multi level GLM; Restricted iterative generalized least squares; Variance components

Indexed keywords

AMYGDALOID NUCLEUS; ARTICLE; BRAIN STEM; COMPUTER PROGRAM; CONTRAST OF PARAMETER ESTIMATE; CONTROLLED STUDY; FALSE POSITIVE RESULT; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GENERAL LINEAR MODEL; HIPPOCAMPUS; HUMAN; INSULA; ITERATIVE GENERALIZED LEAST SQUARE; LINEAR MIXED EFFECT; ORDINARY LEAST SQUARE; PERIAQUEDUCTAL GRAY MATTER; PRIORITY JOURNAL; RETSRICTED MAXIMUM LIKELIHOOD VARIANT; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; TEMPORAL CORTEX; VARIANCE; VENTROMEDIAL PREFRONTAL CORTEX;

BRAIN; BRAIN MAPPING; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; SENSITIVITY AND SPECIFICITY;

EID: 80054106032     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.07.077     Document Type: Article

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