A Causal Exposure Response Function with Local Adjustment for Confounding

June 4, 2018
By Georgia Papadogeorgou, Francesca Dominici

In the last two decades, ambient levels of air pollution have declined substantially. Yet, as mandated by the Clean Air Act, we must continue to address the following question: is exposure to levels of air pollution that are well below the National Ambient Air Quality Standards (NAAQS) harmful to human health? Furthermore, the highly contentious nature surrounding environmental regulations necessitates casting this question within a causal inference framework. Several parametric and semi-parametric regression modeling approaches have been developed for estimating the exposure-response (ER) curve.

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