Bayesian Correction for Exposure Misclassification and Evolution of Evidence in Two Studies of the Association Between Maternal Occupational Exposure to Asthmagens and Risk of Autism Spectrum Disorder

Current Environmental Health Reports
Alison B SingerIgor Burstyn

Abstract

Inference in epidemiologic studies is plagued by exposure misclassification. Several methods exist to correct for misclassification error. One approach is to use point estimates for the sensitivity (Sn) and specificity (Sp) of the tool used for exposure assessment. Unfortunately, we typically do not know the Sn and Sp with certainty. Bayesian methods for exposure misclassification correction allow us to model this uncertainty via distributions for Sn and Sp. These methods have been applied in epidemiologic literature, but are not considered a mainstream approach, especially in occupational epidemiology. Here, we illustrate an occupational epidemiology application of a Bayesian approach to correct for the differential misclassification error generated by estimating occupational exposures from job codes using a job exposure matrix (JEM). We argue that analyses accounting for exposure misclassification should become more commonplace in the literature.

References

Nov 15, 1991·American Journal of Epidemiology·K M FlegalF J Nieto
Sep 1, 1989·Statistics in Medicine·J R Marshall
Aug 4, 2011·Scandinavian Journal of Public Health·Ole MorsPreben Bo Mortensen
Aug 4, 2011·Scandinavian Journal of Public Health·Flemming PeterssonLau Caspar Thygesen
Oct 23, 2014·International Journal of Environmental Research and Public Health·Igor BurstynA Robert Schnatter
Oct 22, 2016·Journal of Autism and Developmental Disorders·Alison B SingerIgor Burstyn
Apr 1, 2017·Environmental Health : a Global Access Science Source·Alison B SingerDiana E Schendel

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Just Another Gibbs Sampler ( JAGS )
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