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Effects of exposure uncertainties in the TSCE model and application to the Colorado miners data.

Authors
Heidenreich-WF; Luebeck-EG; Moolgavkar-SH
Source
Radiat Res 2004 Jan; 161(1):72-81
NIOSHTIC No.
20029101
Abstract
The simulations in this paper show that exposure measurement error affects the parameter estimates of the biologically motivated two-stage clonal expansion (TSCE) model. For both Berkson and classical error models, we show that likelihood-based techniques of correction work reliably. For classical errors, the distribution of true exposures needs to be known or estimated in addition to the distribution of recorded exposures conditional on true exposures. Usually the exposure uncertainty biases the model parameters toward the null and underestimates the precision. But when several parameters are allowed to be dependent on exposure, e.g. initiation and promotion, then their relative importance is also influenced, and more complicated effects of exposure uncertainty can occur. The application part of this paper shows for two different types of Berkson errors that a recent analysis of the data for the Colorado plateau miners with the TSCE model is not changed substantially when correcting for such errors. Specifically, the conjectured promoting action of radon remains as the dominant radiation effect for explaining these data. The estimated promoting action of radon increases by a factor of up to 1.2 for the largest assumed exposure uncertainties.
Keywords
Risk-factors; Risk-analysis; Models; Mutagens; Exposure-levels; Exposure-assessment; Radiation-contamination; Radiation-effects; Mine-workers
Contact
GSF-National Research Center for Environment and Health Institute for Radiation Protection, 85764 Neuherberg, Germany
CODEN
RAREAE
Publication Date
20040101
Document Type
Journal Article
Funding Type
Grant
Fiscal Year
2004
NTIS Accession No.
NTIS Price
Identifying No.
Grant-Number-R01-OH-007864
Issue of Publication
1
ISSN
0033-7587
Source Name
Radiation Research
State
WA
Performing Organization
Fred Hutchinson Cancer Research Center
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