Bayesian hierarchical dose-response meta-analysis of epidemiological studies: Modeling and target population prediction methods.

ABSTRACT: When assessing the human risks due to exposure to environmental chemicals, traditional dose-response analyses are not straightforward when there are numerous high-quality epidemiological studies of priority cancer and non-cancer health outcomes. Given this wealth of information, selecting a single "best" study on which to base dose-response analyses is difficult and would potentially ignore much of the available data. Therefore, systematic approaches are necessary for the analysis of these rich databases. Examples are meta-analysis (and further, meta-regression), which are well established methods that consider and incorporate information from multiple studies into the estimation of risks due to exposure to environmental contaminants. In this paper, we propose a hierarchical, Bayesian meta

SUBMITTER: Allen B 

PROVIDER: S-EPMC7780081 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature