Integrative variable selection via Bayesian model uncertainty

Statistics in Medicine

Volumn 32, Issue 28, 2013, Pages 4938-4953

  Quintana, M A ^a   Conti, D V ^b  

^a BERRY CONSULTANTS   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Bayes factors; Genetic association studies; Group variable selection; Informative model space prior

Indexed keywords

BUNGAROTOXIN RECEPTOR; COTININE; CYTOCHROME P450 2A6; NICOTINIC RECEPTOR; NICOTINIC RECEPTOR ALPHA4; NICOTINIC RECEPTOR BETA2;

ALGORITHM; ARTICLE; BAYES THEOREM; BAYESIAN MODEL UNCERTAINTY; DOPAMINERGIC SYSTEM; GENE STRUCTURE; GENETIC ASSOCIATION; GENETIC VARIABILITY; GENOTYPE; HUMAN; INTEGRATIVE VARIABLE SELECTION TECHNIQUE; METHODOLOGY; MONTE CARLO METHOD; NICOTINE REPLACEMENT THERAPY; PREDICTION; PROBABILITY; REGRESSION ANALYSIS; REWARD; SENSITIVITY ANALYSIS; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM; SMOKING CESSATION; STATISTICAL ANALYSIS; TOBACCO DEPENDENCE;

BAYES FACTORS; GENETIC ASSOCIATION STUDIES; GROUP VARIABLE SELECTION; INFORMATIVE MODEL SPACE PRIOR;

ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; HUMANS; MODELS, STATISTICAL; NICOTINE; POLYMORPHISM, SINGLE NUCLEOTIDE; RECEPTORS, NICOTINIC; SMOKING CESSATION; UNCERTAINTY;

EID: 84887187386     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5888     Document Type: Article

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