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Pollutant emissions from coal-burning power plants have been deemed to adversely impact ambient air quality and public health conditions. Despite the noticeable reduction in emissions and the improvement of air quality since the Clean Air…

统计方法学 · 统计学 2019-01-07 Chanmin Kim , Corwin M Zigler , Michael J Daniels , Christine Choirat , Jason A Roy

Understanding the causal effects of air pollution exposures on social mobility is attracting increasing attention. At the same time, education is widely recognized as a key driver of social mobility. However, the causal pathways linking…

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 contrasts that may be of nominal interest for causal effect…

统计方法学 · 统计学 2024-02-01 Joseph Antonelli , Corwin Zigler

Analysis of observational studies increasingly confronts the challenge of determining which of a possibly high-dimensional set of available covariates are required to satisfy the assumption of ignorable treatment assignment for estimation…

统计方法学 · 统计学 2022-03-23 Chanmin Kim , Mauricio Tec , Corwin M Zigler

The impact of wildfire smoke on air quality is a growing concern, contributing to air pollution through a complex mixture of chemical species with important implications for public health. While previous studies have primarily focused on…

统计方法学 · 统计学 2026-02-10 Dafne Zorzetto , Jenna Landy , Corwin Zigler , Giovanni Parmigiani , Roberta De Vito

Understanding the sources that contribute to fine particulate matter (PM$_{2.5}$) is of crucial importance for designing and implementing targeted air pollution mitigation strategies. Determining what factors contribute to a pollutant's…

应用统计 · 统计学 2025-11-03 Michela Frigeri , Veronica Berrocal , Alessandra Guglielmi

Principal stratification analysis evaluates how causal effects of a treatment on a primary outcome vary across strata of units defined by their treatment effect on some intermediate quantity. This endeavor is substantially challenged when…

统计方法学 · 统计学 2024-03-21 Chanmin Kim , Corwin Zigler

Causal mediation analysis aims to characterize an exposure's effect on an outcome and quantify the indirect effect that acts through a given mediator or a group of mediators of interest. With the increasing availability of measurements on a…

Mediation analysis aims to decipher the underlying causal mechanisms between an exposure, an outcome, and intermediate variables called mediators. Initially developed for fixed-time mediator and outcome, it has been extended to the…

统计方法学 · 统计学 2025-01-15 K. Le Bourdonnec , L. Valeri , C. Proust-Lima

Causal mediation analysis is a powerful tool in environmental health research, allowing researchers to uncover the pathways through which exposures influence health outcomes. While traditional mediation methods have been widely applied to…

Mediation analysis seeks to infer how much of the effect of an exposure on an outcome can be attributed to specific pathways via intermediate variables or mediators. This requires identification of so-called path-specific effects. These…

统计方法学 · 统计学 2019-06-06 Johan Steen , Stijn Vansteelandt

Cluster randomized trials (CRTs) with multiple unstructured mediators present significant methodological challenges for causal inference due to within-cluster correlation, interference among units, and the complexity introduced by multiple…

统计方法学 · 统计学 2025-04-21 Yuki Ohnishi , Fan Li

Humans are routinely exposed to mixtures of chemical and other environmental factors, making the quantification of health effects associated with environmental mixtures a critical goal for establishing environmental policy sufficiently…

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 frequent violation of the positivity assumption, which renders the…

统计方法学 · 统计学 2026-05-05 Zhuochao Huang , Kejin Dong , Tuo Lin , Joseph Antonelli

The health impact of long-term exposure to air pollution is now routinely estimated using spatial ecological studies, due to the recent widespread availability of spatial referenced pollution and disease data. However, this areal unit study…

应用统计 · 统计学 2014-12-16 Duncan Lee , Christophe Sarran

Analyses of causal mediation often involve exposure-induced confounders or, relatedly, multiple mediators. In such applications, researchers aim to estimate a variety of different quantities, including interventional direct and indirect…

统计方法学 · 统计学 2025-06-18 Jesse Zhou , Geoffrey T. Wodtke

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 pollutants. This approach is motivated by regulations that impact…

应用统计 · 统计学 2019-09-23 Rachel C. Nethery , Fabrizia Mealli , Jason D. Sacks , Francesca Dominici

Air pollution poses a serious threat to sustainable environmental conditions in the 21st century. Its importance in determining the health and living standards in urban settings is only expected to increase with time. Various factors…

机器学习 · 计算机科学 2022-06-16 Mayukh Bhattacharyya , Sayan Nag , Udita Ghosh

Emissions generators, such as coal-fired power plants, are key contributors to air pollution and thus environmental policies to reduce their emissions have been proposed. Furthermore, marginalized groups are exposed to disproportionately…

统计方法学 · 统计学 2024-01-26 Kevin L. Chen , Falco J. Bargagli Stoffi , Raphael C. Kim , Rachel C. Nethery

We develop new methodology to improve our understanding of the causal effects of multivariate air pollution exposures on public health. Typically, exposure to air pollution for an individual is measured at their home geographic region,…

统计方法学 · 统计学 2025-11-18 Heejun Shin , Danielle Braun , Kezia Irene , Michelle Audirac , Joseph Antonelli
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