Correction of odds ratios in case-control studies for exposure misclassification with partial knowledge of the degree of agreement among experts who assessed exposures

Occupational and Environmental Medicine
Igor BurstynJ Siemiatycki

Abstract

Estimates of association between exposures and diseases are often distorted by error in exposure classification. When the validity of exposure assessment is known, this can be used to adjust these estimates. When exposure is assessed by experts, even if validity is not known, we sometimes have information about interrater reliability. We present a Bayesian method for translating the knowledge of interrater reliability, which is often available, into knowledge about validity, which is often needed but not directly available, and applying this to correct odds ratios (OR). The method allows for inclusion of observed potential confounders in the analysis, as is common in regression-based control for confounding. Our method uses a novel type of prior on sensitivity and specificity. The approach is illustrated with data from a case-control study of lung cancer risk and occupational exposure to diesel engine emissions, in which exposure assessment was made by detailed job history interviews with study subjects followed by expert judgement. Using interrater agreement measured by kappas (κ), we estimate sensitivity and specificity of exposure assessment and derive misclassification-corrected confounder-adjusted OR. Misclassification-cor...Continue Reading

References

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Dec 8, 2015·Journal of Occupational and Environmental Medicine·Igor BurstynJ Morel Symons

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Citations

Mar 25, 2019·Environmental Health : a Global Access Science Source·Nur H OrakMarek J Druzdzel
Dec 22, 2021·Annals of Work Exposures and Health·Thomas RémenJérôme Lavoué

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