Joint generalized models for multidimensional outcomes: A case study of neuroscience data from multimodalities

Biometrical Journal

Volumn 54, Issue 2, 2012, Pages 264-280

  Wang, Xiao Feng ^a  

^a LERNER RESEARCH INSTITUTE   (United States)

Author keywords

Dispersion; Generalized linear mixed models; Joint modeling; Multivariate responses; Pseudo likelihood

Indexed keywords

ELECTROMYOGRAPHY; NEUROLOGY; SAMPLING;

CASE-STUDIES; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GENERALIZED LINEAR MIXED MODELS; GENERALIZED MODELS; JOINT MODELS; MIXED EFFECTS; MULTI-MODALITY; MULTIVARIATE RESPONSE; MUSCLE FATIGUES; PSEUDO-LIKELIHOOD;

MAGNETIC RESONANCE IMAGING;

EID: 84860152366     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.201100041     Document Type: Article

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