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Accepted (AM)Open Access (License Unspecified), Open
Journal article
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, v 5(3), pp 338-350
Sep 2018
PMID: 30030714
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- 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
- Creators
- Alison B Singer - University of North Carolina at Chapel HillM Daniele Fallin - Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USAIgor Burstyn - Drexel University
- Publication Details
- Current environmental health reports, v 5(3), pp 338-350
- Publisher
- Springer Nature
- Grant note
- U01 DD000498 / NCBDD CDC HHS U10 DD000181 / NCBDD CDC HHS AS8576 / Autism Speaks U10 DD000180 / NCBDD CDC HHS U10 DD000183 / NCBDD CDC HHS T32 ES007018 / NIEHS NIH HHS U01 DD001214 / NCBDD CDC HHS U10 DD000184 / NCBDD CDC HHS U10 DD000182 / NCBDD CDC HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Environmental and Occupational Health
- Web of Science ID
- WOS:000544900700003
- Scopus ID
- 2-s2.0-85055856099
- Other Identifier
- 991019168795704721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health