A comparison of Bayesian hierarchical modeling with group-based exposure assessment in occupational epidemiology

作者：Xing Li; Burstyn Igor; Richardson David B; Gustafson Paul^*

来源：Statistics in Medicine, 2013, 32(21): 3686-3699.

DOI：10.1002/sim.5791

• Bayesian hierarchical model
• measurement error
• MCMC
• group-based exposure assessment
• missing data

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.

• 出版日期2013-9-20