Model averaging methods for the evaluation of dose-response model uncertainty when assessing the suitability of studies for estimating risk.

ABSTRACT: This paper describes the use of multiple models and model averaging for considering dose-response uncertainties when extrapolating low-dose risk from studies of populations with high levels of exposure. The model averaging approach we applied builds upon innovative methods developed by the U.S. Food and Drug Administration (FDA), principally through the relaxing of model constraints. The relaxing of model constraints allowed us to evaluate model uncertainty using a broader set of model forms and, within the context of model averaging, did not result in the extreme supralinearity that is the primary concern associated with the application of individual unconstrained models. A study of the relationship between inorganic arsenic exposure to a Taiwanese population and potential carcinogenic ef

SUBMITTER: Mendez W 

PROVIDER: S-EPMC7708422 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature