21 citations · 25 across the 7 of their papers we have counts for
7 papers
Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Confounding
Keith Barnatchez, Kevin P. Josey, Rachel C. Nethery +1
Data-driven decision making frequently relies on predicting counterfactual outcomes. In practice, researchers commonly train counterfactual prediction models on a source dataset to…
Efficient Estimation of Causal Effects Under Two-Phase Sampling with Error-Prone Outcome and Treatment Measurements
Keith Barnatchez, Kevin P. Josey, Nima S. Hejazi +3
Measurement error is a common challenge for causal inference studies using electronic health record (EHR) data, where clinical outcomes and treatments are frequently mismeasured. R…
A Spatiotemporal, Quasi-experimental Causal Inference Approach to Characterize the Effects of Global Plastic Waste Export and Burning on Air Quality Using Remotely Sensed Data
Ellen M. Considine, Rachel C. Nethery
Open burning of plastic waste may pose a significant threat to global health by degrading air quality, but quantitative research on this problem -- crucial for policy making -- has…
Flexible and Efficient Estimation of Causal Effects with Error-Prone Exposures: A Control Variates Approach for Measurement Error
Keith Barnatchez, Rachel Nethery, Bryan E. Shepherd +2
Exposure measurement error is a ubiquitous but often overlooked challenge in causal inference with observational data. Existing methods accounting for exposure measurement error la…
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…