A comparison of Bayesian hierarchical modeling with group‐based exposure assessment in occupational epidemiology. (3rd April 2013)

• Record Type: Journal Article
• Authors: Xing, Li; Burstyn, Igor; Richardson, David B.; Gustafson, Paul
• Is Part Of: Statistics in medicine. Volume 32:Number 21(2013)
• Page Start: 3686
• Page End: 3699
• Publication Date: 2013-04-03
• Subjects: Bayesian hierarchical model -- measurement error -- MCMC -- group‐based exposure assessment -- missing data; Medical statistics -- Periodicals; Statistique médicale -- Périodiques; Statistiques médicales -- Périodiques; 610.727
• DOI: 10.1002/sim.5791
• Languages: English
• ISSNs: 0277-6715

Abstract

Abstract : We build a Bayesian hierarchical model for relating disease to a potentially harmful exposure, by using data from studies in occupational epidemiology, and compare our method with the traditional group‐based exposure assessment method through simulation studies, a real data application, and theoretical calculation. We focus on cohort studies where a logistic disease model is appropriate and where group means can be treated as fixed effects. The results show a variety of advantages of the fully Bayesian approach and provide recommendations on situations where the traditional group‐based exposure assessment method may not be suitable to use. Copyright © 2013 John Wiley & Sons, Ltd.