Application of multi-method-multi-model inference to radiation related solid cancer excess risks models for astronaut risk assessment

Hafner, Luana; Walsh, Linda

doi:10.1016/j.zemedi.2023.06.003

Application of multi-method-multi-model inference to radiation related solid cancer excess risks models for astronaut risk assessment

Journal Article · Sat Jul 08 00:00:00 EDT 2023 · Zeitschrift fuer Medizinische Physik

DOI:https://doi.org/10.1016/j.zemedi.2023.06.003· OSTI ID:2470367

^[1]; Walsh, Linda ^[2]

Swiss Federal Nuclear Safety Inspectorate ENSI, Brugg (Switzerland)
University of Zürich (Switzerland)

The impact of including model-averaged excess radiation risks (ER) into a measure of radiation attributed decrease of survival (RADS) for the outcome all solid cancer incidence and the impact on the uncertainties is demonstrated. It is shown that RADS applying weighted model averaged ER based on AIC weights result in smaller risk estimates with narrower 95% CI than RADS using ER based on BIC weights. Further a multi-method-multi-model inference approach is introduced that allows calculating one general RADS estimate providing a weighted average risk estimate for a lunar and a Mars mission. For males the general RADS estimate is found to be 0.42% (95% CI: 0.38%; 0.45%) and for females 0.67% (95% CI: 0.59%; 0.75%) for a lunar mission and 2.45% (95% CI: 2.23%; 2.67%) for males and 3.91% (95% CI: 3.44%; 4.39%) for females for a Mars mission considering an age at exposure of 40 years and an attained age of 65 years. It is recommended to include these types of uncertainties and to include model-averaged excess risks in astronaut risk assessment.

Research Organization:: Radiation Effects Research Foundation (RERF), Hiroshima (Japan)

Sponsoring Organization:: USDOE

OSTI ID:: 2470367

Journal Information:: Zeitschrift fuer Medizinische Physik, Journal Name: Zeitschrift fuer Medizinische Physik Journal Issue: 1 Vol. 34; ISSN 0939-3889

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Application of multi-method-multi-model inference to radiation related solid cancer excess risks models for astronaut risk assessment

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References (13)

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