Sep 15 2021

Statistics and Data Science Seminar: Causal Inference with Continuous Exposures, by Ted Westling

September 15, 2021

4:00 PM - 4:50 PM




Chicago, IL

Ted Westling (University of Massachusetts, Amherst): Causal Inference with Continuous Exposures

Much of the literature on estimating causal effects concerns discrete exposures. Recently, there has been increased interest in continuous exposures; that is, exposures that can take an uncountable number of values. Examples of such exposures include air pollution, pre-vaccination antibody responses, and concentrations of harmful chemicals in the blood. In this talk, I will provide an introduction to the area of causal inference with continuous exposures. I will then provide an overview of some of the recent research concerning nonparametric causal inference with continuous exposures, including my own recent and ongoing research. In particular, I will discuss approaches to nonparametric pointwise and global inference on causal dose-response curves, and, time permitting, inference on alternative causal parameters such as the effects of stochastic and incremental interventions.

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Kyunghee Han

Date posted

Sep 28, 2021

Date updated

Sep 28, 2021


Ted Westling | (University of Massachusetts, Amherst)