Beyond Structural Equation Modeling: Model properties and effect size from a Bayesian viewpoint. An example of complex phenotype - genotype associations in depression;A strukturális egyenlet modellezés alternatívái: Modell tulajdonságok és hatáserosség a bayesi nézopontból. Komplex fenotípus-genotípus asszociációk vizsgálata depresszió esetén

Neuropsychopharmacologia Hungarica

Volumn 14, Issue 4, 2012, Pages 273-284

  Hullam, Gabor ^a   Juhasz, Gabriella ^b   Bagdy, Gyorgy ^b   Antal, Peter ^a  

^a BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

^b SEMMELWEIS UNIVERSITY   (Hungary)

Author keywords

Bayesian network based learning algorithm; Depression; Effect size; Impulsivity; Multivariate statistical methods; Structural equation modeling; Systems based modeling

Indexed keywords

ADULT; ARTICLE; BARRATT IMPULSIVENESS SCALE; BAYESIAN LEARNING; COGNITION; DEPRESSION; DISEASE ASSOCIATION; FEMALE; GENE; GENOTYPE PHENOTYPE CORRELATION; HTR1A GENE; HUMAN; IMPULSIVENESS; MALE; MENTAL DISEASE; QUESTIONNAIRE; SCORING SYSTEM; SINGLE NUCLEOTIDE POLYMORPHISM; SOCIAL STATUS; STRUCTURAL EQUATION MODELING;

ADULT; ALGORITHMS; BAYES THEOREM; DEPRESSION; DEPRESSIVE DISORDER; FEMALE; GENETIC ASSOCIATION STUDIES; GENETIC PREDISPOSITION TO DISEASE; HUMANS; IMPULSIVE BEHAVIOR; MALE; MATHEMATICAL COMPUTING; MIDDLE AGED; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; POLYMORPHISM, SINGLE NUCLEOTIDE; RECEPTOR, SEROTONIN, 5-HT1A;

EID: 84874072429     PISSN: 14198711     EISSN: None     Source Type: Journal    
DOI: 10.5706/nph201212009     Document Type: Article

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