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Activity Number:
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233
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, July 31, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #308220 |
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Title:
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Descriptive Models for Excess Risks Following Radiation Exposure
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Author(s):
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Dale Preston*+
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Companies:
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Hirosoft International
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Address:
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1335 H St, Eureka, CA, 95501-2331,
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Keywords:
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radiation effects ; dose response ; hazard functions ; excess rates
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Abstract:
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Log-linear models are commonly used to describe relative risks in epidemiology. Such models are of limited use in describing dose response relationships. These limitations include the implicit non-linearity of the dose response and difficulties in interpreting effect modifiers that describe effects relative to baseline risks. Modeling the excess relative risk (ERR=1 minus the relative risk) as the product of a dose response function and effect modifiers such as gender or attained age leads to useful descriptions of the risk. Models of this form can also easily be used to describe excess rates. ERR and excess rate models provide contrasting interpretations of the excess risk that can lead to insights into and hypotheses about the nature of exposure effects. I will describe risk models used in radiation effects studies with examples based on the atomic bomb survivor data.
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