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

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Bayesian inference of gene-environment interaction from incomplete data: what happens when information on environment is disjoint from data on gene and disease? is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1002/SIM.4176
P698PubMed publication ID21432881
P5875ResearchGate publication ID50834170

P2093author name stringIgor Burstyn
Paul Gustafson
P2860cites work‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease?*Q22066036
Mendelian randomization as an instrumental variable approach to causal inferenceQ29391639
Semiparametric Bayesian analysis of case-control data under conditional gene-environment independenceQ31112039
Mendelian randomization: prospects, potentials, and limitationsQ34312296
Designing and analysing case-control studies to exploit independence of genotype and exposureQ41572695
Exploiting gene-environment independence for analysis of case-control studies: an empirical Bayes-type shrinkage estimator to trade-off between bias and efficiencyQ43602602
Paraoxonase (PON1) polymorphisms in farmers attributing ill health to sheep dip.Q43913183
Lactase persistence and bitter taste response: instrumental variables and mendelian randomization in epidemiologic studies of dietary factors and cancer riskQ43987366
Commentary: the concept of 'Mendelian Randomization'.Q46041775
Mendelian randomization: Using genes as instruments for making causal inferences in epidemiologyQ57108274
P433issue8
P407language of work or nameEnglishQ1860
P921main subjectBayesian inferenceQ812535
incomplete dataQ122958295
P304page(s)877-889
P577publication date2011-01-13
P1433published inStatistics in MedicineQ7604438
P1476titleBayesian inference of gene-environment interaction from incomplete data: what happens when information on environment is disjoint from data on gene and disease?
P478volume30

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cites work (P2860)
Q46230330A Bayesian mixture modeling approach for assessing the effects of correlated exposures in case-control studies
Q38241350Rethinking cumulative exposure in epidemiology, again
Q35227976The role of genotypes that modify the toxicity of chemical mutagens in the risk for myeloproliferative neoplasms
Q92408506What to Do When Accumulated Exposure Affects Health but Only Its Duration Was Measured? A Case of Linear Regression

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