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Leukemia Attributable to Residential Magnetic Fields: Results from Analyses Allowing for Study Biases

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  • Sander Greenland
  • Leeka Kheifets

Abstract

Nearly every epidemiologic study of residential magnetic fields and childhood leukemia has exhibited a positive association. Nonetheless, because these studies suffer from various methodologic limitations and there is no known plausible mechanism of action, it remains uncertain as to how much, if any, of these associations are causal. Furthermore, because the observed associations are small and involve only the highest and most infrequent levels of exposure, it is believed that the public health impact of an effect would be small. We present some formal analyses of the impact of power‐frequency residential magnetic‐field exposure (as measured by attributable fractions), accounting for our uncertainties about study biases as well as uncertainties about exposure distribution. These analyses support the idea that the public health impact of residential fields is likely to be limited, but both no impact and a substantial impact remain possibilities in light of the available data.

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  • Sander Greenland & Leeka Kheifets, 2006. "Leukemia Attributable to Residential Magnetic Fields: Results from Analyses Allowing for Study Biases," Risk Analysis, John Wiley & Sons, vol. 26(2), pages 471-482, April.
    • Handle: RePEc:wly:riskan:v:26:y:2006:i:2:p:471-482
    DOI: 10.1111/j.1539-6924.2006.00754.x
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    References listed on IDEAS

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    1. Sander Greenland, 2003. "Generalized Conjugate Priors for Bayesian Analysis of Risk and Survival Regressions," Biometrics, The International Biometric Society, vol. 59(1), pages 92-99, March.
    2. Leeka Kheifets & Jack D. Sahl & Riti Shimkhada & Mike H. Repacholi, 2005. "Developing Policy in the Face of Scientific Uncertainty: Interpreting 0.3 μT or 0.4 μT Cutpoints from EMF Epidemiologic Studies," Risk Analysis, John Wiley & Sons, vol. 25(4), pages 927-935, August.
    3. Sander Greenland, 2001. "Estimation of Population Attributable Fractions from Fitted Incidence Ratios and Exposure Survey Data, with an Application to Electromagnetic Fields and Childhood Leukemia," Biometrics, The International Biometric Society, vol. 57(1), pages 182-188, March.
    4. Sander Greenland, 2001. "Putting Background Information About Relative Risks into Conjugate Prior Distributions," Biometrics, The International Biometric Society, vol. 57(3), pages 663-670, September.
    5. John Copas & Shinto Eguchi, 2001. "Local sensitivity approximations for selectivity bias," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(4), pages 871-895.
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    Cited by:

    1. Detlof von Winterfeldt & Robert Kavet & Stephen Peck & Mayank Mohan & Gordon Hazen, 2012. "The Value of Environmental Information without Control of Subsequent Decisions," Risk Analysis, John Wiley & Sons, vol. 32(12), pages 2113-2132, December.
    2. L. Kheifets & J. Sahl & R. Shimkhada & M. Repacholi, 2006. "Epidemiologic Data and Standards: Response to Kundi," Risk Analysis, John Wiley & Sons, vol. 26(3), pages 583-584, June.
    3. Enrique A. Navarro-Camba & Jaume Segura-García & Claudio Gomez-Perretta, 2018. "Exposure to 50 Hz Magnetic Fields in Homes and Areas Surrounding Urban Transformer Stations in Silla (Spain): Environmental Impact Assessment," Sustainability, MDPI, vol. 10(8), pages 1-11, July.

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