The effect of uncertainty in exposure estimation on the exposure-response relation between 1,3-butadiene and leukemia

International Journal of Environmental Research and Public Health

Volumn 6, Issue 9, 2009, Pages 2436-2455

  Graff, John J ^a,b   Sathiakumar, Nalini ^b   Macaluso, Maurizio ^b,c   Maldonado, George ^d   Matthews, Robert ^b   Delzell, Elizabeth ^b  

^a WAYNE STATE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^c NATIONAL CENTER FOR CHRONIC DISEASE PREVENTION AND HEALTH PROMOTION   (United States)

^d UNIVERSITY OF MINNESOTA   (United States)

Author keywords

1,3 butadiene; Epidemiology; Leukemia; Methods; Uncertainty analysis; Workplace exposures

Indexed keywords

1,3 BUTADIENE;

ARTICLE; CHEMICAL INDUSTRY; HUMAN; INDUSTRIAL WORKER; LEUKEMIA; OCCUPATIONAL EXPOSURE; OCCUPATIONAL HAZARD;

EID: 70349669386     PISSN: None     EISSN: 16604601     Source Type: Journal    
DOI: 10.3390/ijerph6092436     Document Type: Article

References (29)

1. Checkoway, H.; Pearce, N.; Crawford-Brown, D.J. Research methods in occupational epidemiology; Oxford University Press: New York, NY, USA, 1989; p. 344.
2. Mannetje, A.; Kromhout, H. The use of occupation and industry classifications in general population studies. Int. J. Epidemiol. 2003, 32, 419-428. (Pubitemid 36764101)
3. Chavance, M.; Dellatolas, G.; Lellouch, J. Correlated nondifferential misclassifications of disease and exposure: application to a cross-sectional study of the relation between handedness and immune disorders. Int. J. Epidemiol. 1992, 21, 537-546.
4. Flegal, K.M.; Keyl, P.M.; Nieto, F.J. Differential misclassification arising from nondifferential errors in exposure measurement. Am. J. Epidemiol. 1991, 134, 1233-1244.
5. Wacholder, S.; Dosemeci, M.; Lubin, J.H. Blind assignment of exposure does not always prevent differential misclassification. Am. J. Epidemiol. 1991, 134, 433-437.
6. Weinberg, C.R.; Umbach, D.M.; Greenland, S. When will nondifferential misclassification of an exposure preserve the direction of a trend? Am. J. Epidemiol. 1994, 140, 565-571. (Pubitemid 24285939)
7. Dosemeci, M.; Wacholder, S.; Lubin, J.H. Does nondifferential misclassification of exposure always bias a true effect toward the null value? Am. J. Epidemiol. 1990, 132, 746-748.
8. Jurek, A.M.; Greenland, S.; Maldonado, G.; Church, T.R. Proper interpretation of non-differential misclassification effects: expectations vs observations. Int. J. Epidemiol. 2005, 34, 680-687.
9. Kristensen, P. Bias from nondifferential but dependent misclassification of exposure and outcome. Epidemiology 1992, 3, 210-215.
10. Gustafson, P. Measurement error and misclassification in statistics and epidemiology: impacts and Bayesian adjustments. CRC Press/Chapman and Hall: Boca Raton, FL, USA, 2003; p. 200.
11. Kromhout, H.; Loomis, D.P.; Mihlan, G.J.; Peipins, L.A.; Kleckner, R.C.; Iriye, R.; Savitz, D.A. Assessment and grouping of occupational magnetic field exposure in five electric utility companies. Scand. J. Work Environ. Health 1995, 21, 43-50.
12. Kromhout, H.; Loomis, D.P.; Kleckner, R.C. Uncertainty in the relation between exposure to magnetic fields and brain cancer due to assessment and assignment of exposure and analytical methods in dose-response modeling. Ann. N Y Acad. Sci. 1999, 895, 141-155.
13. Phillips, C.V.; Maldonado, G. Using Monte Carlo methods to quantify the multiple sources of error in studies. Am. J. Epidemiol. 1999, 149, S17.
14. Greenland, S. Basic methods for sensitivity analysis and external adjustment. In Modern Epidemiology, 2nd ed.; Lippincott-Raven: Philadelphia, PA, USA, 1998; pp. 343-358.
15. Greenland, S.; Lash, T.L. Bias analysis. In Modern Epidemiology, 3rd ed.; Rothman, K.J., Greenland, S., Lash, T.L., Eds.; Lippincott Williams & Wilkins: Philadelphia, PA, USA, 2008; p. 758.
16. Fox, M.P.; Lash, T.L.; Greenland, S. A method to automate probabilistic sensitivity analyses of misclassified binary variables. Int. J. Epidemiol. 2005, 34, 1370-1377. (Pubitemid 41819547)
17. Gustafson, P. Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments.; Chapman and Hall/CRC Press, Boca Raton, FL, USA, 2003.
18. IARC. 1,3-Butadiene. IARC Monogr 1,3-Butadiene, Ethylene Oxide and Vinyl Halides (Vinyl Fluoride, Vinyl Chloride and Vinyl Bromide); International Agency for Research on Cancer: Lyon, France, 2008; pp. 45-184.
19. Lynch, J. Occupational exposure to butadiene, isoprene and chloroprene. Chem. Biol. Interact 2001, 135-136, 207-214. (Pubitemid 32530488)
20. Graff, J.J.; Sathiakumar, N.; Macaluso, M.; Maldonado, G.; Matthews, R.; Delzell, E. Chemical exposures in the synthetic rubber industry and lymphohematopoietic cancer mortality. J. Occup. Environ. Med. 2005, 47, 916-932. (Pubitemid 41306704)
21. Macaluso, M.; Larson, R.; Delzell, E.; Sathiakumar, N.; Hovinga, M.; Julian, J.; Muir, D.; Cole, P. Leukemia and cumulative exposure to butadiene, styrene and benzene among workers in the synthetic rubber industry. Toxicology 1996, 113, 190-202.
22. Macaluso, M.; Larson, R.; Lynch, J.; Lipton, S.; Delzell, E. Historical estimation of exposure to 1,3-butadiene, styrene, and dimethyldithiocarbamate among synthetic rubber workers. J. Occup. Environ. Hyg. 2004, 1, 371-390. (Pubitemid 38691805)
23. SAS SAS Institute Inc., SAS7 Technical Report P-243. SAS/STAT7 Software: The GENMOD Procedure, Release 6.09.; SAS Institute: Cary, NC, USA, 1993.
24. Lash, T.L.; Fink, A.K. Semi-automated sensitivity analysis to assess systematic errors in observational data. Epidemiology 2003, 14, 451-458.
25. Orsini, N.; Bellocco, R.; Bottai, M.; Wolk, A.; Greenland, S. A tool for deterministic and probabilistic sensitivity analysis of epidemiologic studies. Stata J. 2008, 8, 29-48.
26. Robins, J.M.; Rotnitzky, A.; Scharfstein, D.O. Sensitivity analysis for selection bias and unmeasured confounding in missing data and causal inference models. In Statistical Models in Epidemiology, the Environment and Clinical Trials; Halloran, M.E., Berry, D., Eds.; Springer: New York, NY, USA, 2000; p. 274.
27. Scharfstein, D.O.; Daniels, M.J.; Robins, J.M. Incorporating prior beliefs about selection bias into the analysis of randomized trials with missing outcomes. Biostatistics 2003, 4, 495-512.
28. Turner, R.M.; Spiegelhalter, D.J.; Smith, G.C.S.; Thompson, S.G. Bias modeling in evidence synthesis. J. Royal. Stat. Soc. 2009, 172, 21-47.
29. Vansteelandt, S.; Goetghebeur, E.; Kenward, M.G.; Molenberghs, G. Ignorance and uncertainty regions as inferential tools in a sensitivity analysis. Stat. Sinica 2006, 16, 953-980.