Skip to main content
Fig. 3 | Environmental Health

Fig. 3

From: Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression

Fig. 3

Numerical summaries of the exposure-response function h(z1, …, z7), estimated using Bayesian kernel machine regression. a Overall effect of the mixture (95% CI), defined as the difference in the response when all of the exposures are fixed at a specific quantile (ranging from 0.25 to 0.75), as compared to when all of the exposures are fixed at their median value. b Single-exposure health effects (95% CI), defined as the change in the response associated with a change in a particular exposure from its 25th to its 75th percentile, where all of the other exposures are fixed at a specific quantile (0.25, 0.50, or 0.75). c Interactive effects, defined as the change in the single-exposure health effects when all of the remaining exposures are fixed at their 25th percentile as compared to when they are fixed at their 75th percentile (i.e., red points from Panel b subtracted from the corresponding blue points)

Back to article page