TwinMARM: Two-stage multiscale adaptive regression methods for twin neuroimaging data

IEEE Transactions on Medical Imaging

Volumn 31, Issue 5, 2012, Pages 1100-1112

  Li, Yimei ^a   Gilmore, John H ^b   Wang, Jiaping ^c   Styner, Martin ^b   Lin, Weili ^b   Zhu, Hongtu ^c  

^a ST JUDE CHILDREN S RESEARCH HOSPITAL   (United States)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^c IL   (United States)

Author keywords

Multiscale adaptive regression model; smooth; structural equation model; twin study

Indexed keywords

ADAPTIVE ANALYSIS; BEHAVIORAL DATA; BRAIN STRUCTURE; COVARIATES; ENVIRONMENTAL VARIATIONS; GENETIC EFFECTS; IMAGING DATA; MULTIPLE COMPARISON; MULTISCALES; RAW IMAGES; REGRESSION METHOD; REGRESSION MODEL; RELATIVE CONTRIBUTION; SIMULATION STUDIES; SMOOTH; SPATIAL DEPENDENCE; STRUCTURAL EQUATION MODELS; TWIN STUDY; WHITE MATTER;

GENES; REGRESSION ANALYSIS;

NEUROIMAGING;

ALGORITHM; ARTICLE; BRAIN; COMPUTER SIMULATION; FEMALE; HISTOLOGY; HUMAN; IMAGE PROCESSING; MALE; METHODOLOGY; NEUROIMAGING; NEWBORN; NUCLEAR MAGNETIC RESONANCE IMAGING; REGRESSION ANALYSIS; TWINS;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INFANT, NEWBORN; MAGNETIC RESONANCE IMAGING; MALE; NEUROIMAGING; REGRESSION ANALYSIS; TWIN STUDIES AS TOPIC; TWINS;

EID: 84860657714     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2012.2185830     Document Type: Article

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