21 citations · 51 across the 11 of their papers we have counts for
11 papers
Long-term impact of PM2.5 on mortality is exacerbated when wildfire events occur
Federica Spoto, Francesca Dominici, Tarik Benmarhnia +2
There is extensive evidence that long-term exposure to all-source PM2.5 increases mortality. However, to date, no study has evaluated whether this effect is exacerbated in the pres…
CausalGPS: An R Package for Causal Inference With Continuous Exposures
Naeem Khoshnevis, Xiao Wu, Danielle Braun
Quantifying the causal effects of continuous exposures on outcomes of interest is critical for social, economic, health, and medical research. However, most existing software packa…
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…
Evaluation of Model-Based PM Estimates for Exposure Assessment During Wildfire Smoke Episodes in the Western U.S
Ellen M. Considine, Jiayuan Hao, Priyanka deSouza +3
Investigating the health impacts of wildfire smoke requires data on people's exposure to fine particulate matter (PM) across space and time. In recent years, it has become…
Investigating Use of Low-Cost Sensors to Increase Accuracy and Equity of Real-Time Air Quality Information
Ellen M. Considine, Danielle Braun, Leila Kamareddine +2
Environmental Protection Agency (EPA) air quality (AQ) monitors, the gold standard for measuring air pollutants, are sparsely positioned across the US due to their costliness. Low-…
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…
Assessing the causal effects of a stochastic intervention in time series data: Are heat alerts effective in preventing deaths and hospitalizations?
Xiao Wu, Kate R. Weinberger, Gregory A. Wellenius +2
The methodological development of this paper is motivated by the need to address the following scientific question: does the issuance of heat alerts prevent adverse health effects?…
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…
airpred: A Flexible R Package Implementing Methods for Predicting Air Pollution
M. Benjamin Sabath, Qian Di, Danielle Braun +3
Fine particulate matter (PM) is one of the criteria air pollutants regulated by the Environmental Protection Agency in the United States. There is strong evidence that ambi…
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…