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The Effect of Uncertainty in Exposure Estimation on the Exposure-Response Relation between 1,3-Butadiene and Leukemia

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  • John J. Graff

    (Wayne State University School of Medicine, Karmanos Cancer Institute, Detroit, MI 48201, USA
    University of Alabama at Birmingham School of Public Health, Department of Epidemiology, Birmingham, AL 35294, USA)

  • Nalini Sathiakumar

    (University of Alabama at Birmingham School of Public Health, Department of Epidemiology, Birmingham, AL 35294, USA)

  • Maurizio Macaluso

    (University of Alabama at Birmingham School of Public Health, Department of Epidemiology, Birmingham, AL 35294, USA
    Centers for Disease Control and Prevention, Division of Reproductive Health, Atlanta, GA 30341, USA)

  • George Maldonado

    (University of Minnesota School of Public Health, Division of Environmental Health Sciences, Minneapolis, MN 55455, USA)

  • Robert Matthews

    (University of Alabama at Birmingham School of Public Health, Department of Epidemiology, Birmingham, AL 35294, USA)

  • Elizabeth Delzell

    (University of Alabama at Birmingham School of Public Health, Department of Epidemiology, Birmingham, AL 35294, USA)

Abstract

In a follow-up study of mortality among North American synthetic rubber industry workers, cumulative exposure to 1,3-butadiene was positively associated with leukemia. Problems with historical exposure estimation, however, may have distorted the association. To evaluate the impact of potential inaccuracies in exposure estimation, we conducted uncertainty analyses of the relation between cumulative exposure to butadiene and leukemia. We created the 1,000 sets of butadiene estimates using job-exposure matrices consisting of exposure values that corresponded to randomly selected percentiles of the approximate probability distribution of plant-, work area/job group-, and year specific butadiene ppm. We then analyzed the relation between cumulative exposure to butadiene and leukemia for each of the 1,000 sets of butadiene estimates. In the uncertainty analysis, the point estimate of the RR for the first non zero exposure category (>0–

Suggested Citation

  • John J. Graff & Nalini Sathiakumar & Maurizio Macaluso & George Maldonado & Robert Matthews & Elizabeth Delzell, 2009. "The Effect of Uncertainty in Exposure Estimation on the Exposure-Response Relation between 1,3-Butadiene and Leukemia," IJERPH, MDPI, vol. 6(9), pages 1-20, September.
    • Handle: RePEc:gam:jijerp:v:6:y:2009:i:9:p:2436-2455:d:5742
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    1. Rebecca M. Turner & David J. Spiegelhalter & Gordon C. S. Smith & Simon G. Thompson, 2009. "Bias modelling in evidence synthesis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(1), pages 21-47, January.
    2. Nicola Orsini & Rino Bellocco & Matteo Bottai & Alicja Wolk & Sander Greenland, 2008. "A tool for deterministic and probabilistic sensitivity analysis of epidemiologic studies," Stata Journal, StataCorp LP, vol. 8(1), pages 29-48, February.
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    Cited by:

    1. Yan Li & Hua Yu & Siqian Zheng & Yang Miao & Shi Yin & Peng Li & Ying Bian, 2016. "Direct Quantification of Rare Earth Elements Concentrations in Urine of Workers Manufacturing Cerium, Lanthanum Oxide Ultrafine and Nanoparticles by a Developed and Validated ICP-MS," IJERPH, MDPI, vol. 13(3), pages 1-10, March.

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