51 citations · 145 across the 32 of their papers we have counts for
Showing 2019Show all
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stat.AP2019★ 1 cited
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.ME2019★ 16 cited
Survivor average causal effects for continuous time: a principal stratification approach to causal inference with semicompeting risks
Leah Comment, Fabrizia Mealli, Sebastien Haneuse +1
In semicompeting risks problems, nonterminal time-to-event outcomes such as time to hospital readmission are subject to truncation by death. These settings are often modeled with i…