Post-hoc power estimation for topological inference in fMRI

NeuroImage

Volumn 84, Issue , 2014, Pages 45-64

  Durnez, Joke ^a   Moerkerke, Beatrijs ^a   Nichols, Thomas E ^b  

^a GHENT UNIVERSITY   (Belgium)

^b UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

False negative errors; FMRI; Multiple testing; Power; Random field theory

Indexed keywords

ANALYTICAL ERROR; ARTICLE; CONTROLLED STUDY; DIAGNOSTIC TEST; FALSE POSITIVE RESULT; FUNCTIONAL MAGNETIC RESONANCE IMAGING; INTERMETHOD COMPARISON; POST HOC ANALYSIS; PRIORITY JOURNAL; RANDOM FIELD THEORY; SIMULATION; THEORY; TYPE 1 ERROR; TYPE 2 ERROR; ALGORITHM; ANIMAL; ARTIFACT; BIOLOGICAL MODEL; BRAIN; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; CONNECTOME; HUMAN; IMAGE ENHANCEMENT; LABORATORY DIAGNOSIS; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; ANIMALS; ARTIFACTS; BRAIN; COMPUTER SIMULATION; CONNECTOME; DATA INTERPRETATION, STATISTICAL; FALSE POSITIVE REACTIONS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE NET; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84883685835     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.07.072     Document Type: Article

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