Having your cake (mix) and eating it too: Independent, interaction, and group effects of mixtures using Bayesian Hierarchical Regression Modelling

BACKGROUND AND AIM: Mixtures analysis methods are increasingly being applied in environmental epidemiology, but current methods are often limited by either only providing a group effect or independent exposure effects without a group effect. We investigate Bayesian Hierarchical Regression Modelling (BHRM) and show how it can be adapted to handle highly correlated exposures to estimate: 1) independent exposure effects; 2) interactions between...