21 citations · 51 across the 11 of their papers we have counts for
5 papers · 1 filter
A spatial interference approach to account for mobility in air pollution studies with multivariate continuous treatments
Heejun Shin, Danielle Braun, Kezia Irene +2
We develop new methodology to improve our understanding of the causal effects of multivariate air pollution exposures on public health accounting for mobility. Typically, in enviro…
Estimating a Causal Exposure Response Function with a Continuous Error-Prone Exposure: A Study of Fine Particulate Matter and All-Cause Mortality
Kevin P. Josey, Priyanka deSouza, Xiao Wu +2
Numerous studies have examined the associations between long-term exposure to fine particulate matter (PM2.5) and adverse health outcomes. Recently, many of these studies have begu…
A Bayesian Gaussian Process for Estimating a Causal Exposure Response Curve in Environmental Epidemiology
Boyu Ren, Xiao Wu, Danielle Braun +2
Motivated by environmental policy questions, we address the challenges of estimation, change point detection, and uncertainty quantification of a causal exposure-response function…
Matching on Generalized Propensity Scores with Continuous Exposures
Xiao Wu, Fabrizia Mealli, Marianthi-Anna Kioumourtzoglou +2
In the context of a binary treatment, matching is a well-established approach in causal inference. However, in the context of a continuous treatment or exposure, matching is still…
Causal inference in the context of an error prone exposure: air pollution and mortality
Xiao Wu, Danielle Braun, Marianthi-Anna Kioumourtzoglou +3
We propose a new approach for estimating causal effects when the exposure is measured with error and confounding adjustment is performed via a generalized propensity score (GPS). U…