On the use of Bayesian model averaging for covariate selection in epidemiological modeling

DOI10.1080/15598608.2013.772037zbMath1423.62153OpenAlexW1980464086MaRDI QIDQ2320835

Jens Walkowiak, Melissa Whitney, Louise M. Ryan

Publication date: 27 August 2019

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/15598608.2013.772037

zbMATH Keywords

model selectionmodel uncertaintyBayesian information criterion (BIC)covariate selectionbenchmark doseGibbs variable selection (GVS)polychlorinated biphenyl (PCB)reversible jump Markov-chain Monte Carlo (RJ MCMC)

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian problems; characterization of Bayes procedures (62C10) Monte Carlo methods (65C05) Statistical ranking and selection procedures (62F07) Statistical aspects of information-theoretic topics (62B10)

Uses Software

• WinBUGS
• BayesDA
• gvs_BUGS

Cites Work

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• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• On Bayesian model and variable selection using MCMC
• Estimating the dimension of a model
• A method for simultaneous variable selection and outlier identification in linear regression
• Bayesian model averaging: A tutorial. (with comments and a rejoinder).
• Model uncertainty
• Bayesian model selection and model averaging
• Benchmark Dose Calculation from Epidemiological Data
• Bayesian Model Averaging for Linear Regression Models
• Bayes Factors
• Bayesian Model Averaging With Applications to Benchmark Dose Estimation for Arsenic in Drinking Water

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