This analysis compares two Bayesian model averaging methods to address measurement error in low-dose radiation, highlighting the implications for risk assessment.
Purpose Low-dose radiation risks are generally extrapolated from groups exposed at high levels of dose. Measurement error substantially alters dose-response shape and hence extrapolated risk. Much attention has been paid to methods of dealing with shared errors, common in many datasets, in particular using Bayesian model averaging (BMA) methods.
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Little et al. (2025) studied this question.
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