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Estimation of Population Attributable Fractions from Fitted Incidence Ratios and Exposure Survey Data, with an Application to Electromagnetic Fields and Childhood Leukemia

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  • Sander Greenland

Abstract

Summary. Standard presentations of epidemiological results focus on incidence‐ratio estimates derived from regression models fit to specialized study data. These data are often highly nonrepresentative of populations for which public‐health impacts must be evaluated. Basic methods are provided for interval estimation of attributable fractions from model‐based incidence‐ratio estimates combined with independent survey estimates of the exposure distribution in the target population of interest. These methods are illustrated in estimation of the potential impact of magnetic‐field exposures on childhood leukemia in the United States, based on pooled data from 11 case‐control studies and a U.S. sample survey of magnetic‐field exposures.

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  • 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.
    • Handle: RePEc:bla:biomet:v:57:y:2001:i:1:p:182-188
    DOI: 10.1111/j.0006-341X.2001.00182.x
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    Cited by:

    1. Gudrun Biffl & Thomas Leoni & Christine Mayrhuber, 2009. "Arbeitsplatzbelastungen, arbeitsbedingte Krankheiten und Invalidität," WIFO Studies, WIFO, number 35901, April.
    2. John Holt & Gerarda Darlington, 2004. "Letter to the Editor of Biometrics," Biometrics, The International Biometric Society, vol. 60(3), pages 834-835, September.
    3. 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.
    4. Gudrun Biffl & Thomas Leoni, 2008. "Arbeitsbedingte Erkrankungen. Schätzung der gesamtwirtschaftlichen Kosten mit dem Schwerpunkt auf physischen Belastungen," WIFO Studies, WIFO, number 35099, April.

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