Bayesian inference of gene-environment interaction from incomplete data: What happens when information on environment is disjoint from data on gene and disease?

Statistics in Medicine

Volumn 30, Issue 8, 2011, Pages 877-889

  Gustafson, Paul ^a   Burstyn, Igor ^b,c  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b UNIVERSITY OF ALBERTA   (Canada)

^c DREXEL UNIVERSITY   (United States)

Author keywords

Bayesian inference; Case control study; Gene environment interaction; Mendelian randomization; Non identifiable model; Semi ecological design

Indexed keywords

ARTICLE; BAYES THEOREM; CANCER RISK; CIGARETTE SMOKING; DISEASE PREDISPOSITION; ENVIRONMENTAL EXPOSURE; EXPOSURE VARIABLE; GENETIC TRAIT; GENOTYPE ENVIRONMENT INTERACTION; MATHEMATICAL MODEL; MENDELIAN RANDOMIZATION ANALYSIS; POPULATION DISTRIBUTION; SENSITIVITY ANALYSIS; STATISTICAL DISTRIBUTION;

ARYLAMINE N-ACETYLTRANSFERASE; BAYES THEOREM; BIOSTATISTICS; DATA INTERPRETATION, STATISTICAL; ENVIRONMENTAL EXPOSURE; GENETIC PREDISPOSITION TO DISEASE; GENOTYPE; HUMANS; MODELS, GENETIC; MODELS, STATISTICAL; RANDOM ALLOCATION; RETROSPECTIVE STUDIES; RISK FACTORS; SMOKING; URINARY BLADDER NEOPLASMS;

EID: 79953022073     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4176     Document Type: Article

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