3 papers
stat.ME2026
Multivariate incremental effects for continuous treatments: Studying the health effects of environmental mixtures
Zhuochao Huang, Kejin Dong, Tuo Lin +1
Evaluating the causal health effects of multivariate, continuous exposures, such as air pollution mixtures, is a critical public health challenge. A primary obstacle is the frequen…
stat.ME2024
Causal Analysis of Air Pollution Mixtures: Estimands, Positivity, and Extrapolation
Joseph Antonelli, Corwin Zigler
Causal inference for air pollution mixtures is an increasingly important issue with appreciable challenges. When the exposure is a multivariate mixture, there are many exposure con…
stat.ME2023
Partial identification and unmeasured confounding with multiple treatments and multiple outcomes
Suyeon Kang, Alexander Franks, Heejun Shin +3
Estimating the health effects of multiple air pollutants is a crucial problem in public health, but one that is difficult due to unmeasured confounding bias. Motivated by this issu…