3 papers
stat.AP2020
Integrated causal-predictive machine learning models for tropical cyclone epidemiology
Rachel C. Nethery, Nina Katz-Christy, Marianthi-Anna Kioumourtzoglou +3
Strategic preparedness has been shown to reduce the adverse health impacts of hurricanes and tropical storms, referred to collectively as tropical cyclones (TCs), but its protectiv…
stat.AP2019
Causal inference and machine learning approaches for evaluation of the health impacts of large-scale air quality regulations
Rachel C. Nethery, Fabrizia Mealli, Jason D. Sacks +1
We develop a causal inference approach to estimate the number of adverse health events prevented by large-scale air quality regulations via changes in exposure to multiple pollutan…
stat.ME2018
Estimating Population Average Causal Effects in the Presence of Non-Overlap: The Effect of Natural Gas Compressor Station Exposure on Cancer Mortality
Rachel C. Nethery, Fabrizia Mealli, Francesca Dominici
Most causal inference studies rely on the assumption of overlap to estimate population or sample average causal effects. When data exhibit non-overlap, estimation of these estimand…