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A unified model for covariate measurement error adjustment in an occupational health study while accounting for non‐detectable exposures

Kathleen A. Wannemuehler and Robert H. Lyles

Journal of the Royal Statistical Society Series C, 2005, vol. 54, issue 1, 259-271

Abstract: Summary. The paper focuses on an occupational health study where the goal is to associate a worker's true log‐normal‐scale mean dust exposure over the year with forced expiratory volume. A previous analysis used repeated shift‐long dust exposure measurements, taken over a year, as a surrogate to address the issue of the mean exposure being unobservable. However, in this study the associated measurement error is further complicated by the fact that some exposure measurements fall below a detectable limit. We extend the previous analysis via full maximum likelihood, to account appropriately for non‐detectable exposures.

Date: 2005
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https://doi.org/10.1111/j.1467-9876.2005.00482.x

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Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:54:y:2005:i:1:p:259-271

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Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith

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