Assessment of potential biases in the application of msha respirable coal mine dust data to an epidemiologic study†

Noah S. Seixas, Thomas G. Robins, Carol H. Rice, Lawrence H. Moulton

Research output: Contribution to journalArticle

Abstract

Systematic errors in exposure data will result in biased estimates of the exposure-response relationship derived from epidemiologic analyses. Thus, adjustment of exposure data to account for identified errors may provide for a more accurate assessment of effect. In preparing to apply respirable coal mine dust exposure data collected by the Mine Safety and Health Administration (MSHA) to a study of the pulmonary status of underground coal miners, an assessment of potential systematic errors was undertaken. Potential errors stemming from adjustment of controls during sampling, concentration-dependent sampling, truncation of sampling results, identified sampling equipment problems, and a disproportionate number of low concentration samples in mine operator-collected samples were identified and evaluated. Methods to account for these errors and adjust mean exposures by mine, occupation, and year are given.

Original languageEnglish (US)
Pages (from-to)534-540
Number of pages7
JournalAmerican Industrial Hygiene Association Journal
Volume51
Issue number10
DOIs
StatePublished - Oct 1 1990

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ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

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