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Activity Number:
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23
- Statistical Considerations for Epidemiologic Studies of Radiation Risk
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 7, 2022 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract #323167
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Title:
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Incorporation of Dosimetric Uncertainty into Epidemiologic Calculations of Radiation Risk
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Author(s):
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Daniel O. Stram* and Dale L. Preston
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Companies:
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Keck School of Medicine, University of Southern California and Hirosoft International, Eureka, CA
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Keywords:
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Measurement Error;
Dosimetry;
Radiation Epidemiology
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Abstract:
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Dosimetry for radiation epidemiology is a crucial part of radiation risk analysis. For the A-bomb survivors, Dosimetry System 2002 (DS02) estimates radiation dose received by people in Hiroshima and Nagasaki at the time of the bombings. DS02 doses are customarily adjusted for measurement error using regression calibration before being used in risk estimation. The regression calibration assumes that doses are measured with lognormal classical error with a CV of 35%. Adjustment leads to a 10-15% increase in most risk estimates. Recently dosimetry systems have been developed that represent dosimetric uncertainty by providing multiple realizations of “possible” dose rather than a single dose estimate. The variability of the dose realizations can represent both random and shared errors in dose estimates. We, working with the Mayak Workers Cohort and the Techa River Cohort, have developed a generalized estimating equations approach to include multiple realizations as a part of the risk analyses. This presentation will discuss the application of this method to the Mayak Workers Cohort analyses of lung cancer and leukemia and discuss several possible extensions of the method.
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Authors who are presenting talks have a * after their name.
