Estimating the health effects of environmental mixtures using Bayesian semiparametric regression and sparsity inducing priors
Estimating the health effects of environmental mixtures using Bayesian semiparametric regression and sparsity inducing priors
Humans are routinely exposed to mixtures of chemical and other environmental factors, making the quantification of health effects associated with environmental mixtures a critical goal for establishing environmental policy sufficiently protective of human health. The quantification of the effects of exposure to an environmental mixture poses several statistical challenges. It …