Estimation and inference for case-control studies with multiple non-gold standard exposure assessments: With an occupational health application

Haitao Chu, Stephen R. Cole, Ying Wei, Joseph G. Ibrahim

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

In occupational case-control studies, work-related exposure assessments are often fallible measures of the true underlying exposure. In lieu of a gold standard, often more than 2 imperfect measurements (e.g. triads) are used to assess exposure. While methods exist to assess the diagnostic accuracy in the absence of a gold standard, these methods are infrequently used to correct for measurement error in exposure-disease associations in occupational case-control studies. Here, we present a likelihood-based approach that (a) provides evidence regarding whether the misclassification of tests is differential or nondifferential; (b) provides evidence whether the misclassification of tests is independent or dependent conditional on latent exposure status, and (c) estimates the measurement error-corrected exposure-disease association. These approaches use information from all imperfect assessments simultaneously in a unified manner, which in turn can provide a more accurate estimate of exposure-disease association than that based on individual assessments. The performance of this method is investigated through simulation studies and applied to the National Occupational Hazard Survey, a case-control study assessing the association between asbestos exposure and mesothelioma.

Original languageEnglish (US)
Pages (from-to)591-602
Number of pages12
JournalBiostatistics
Volume10
Issue number4
DOIs
StatePublished - Oct 2009

Keywords

  • Case-control study
  • Gold standard
  • Missing data
  • Occupational exposure assessment

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