Bayesian methods for multiple mediators: relating principal stratification and causal mediation in the analysis of power plant emission controls

DOI10.1214/19-AOAS1260zbMath1433.62324arXiv1902.06194OpenAlexW2981137305WikidataQ90962952 ScholiaQ90962952MaRDI QIDQ2281243

Michael J. Daniels, Christine Choirat, Chanmin Kim, Corwin M. Zigler, Joseph W. Hogan

Publication date: 19 December 2019

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1902.06194

zbMATH Keywords

Bayesian nonparametricsGaussian copulaambient \(\mathrm{PM_{2.5}} \)multipollutantsnatural indirect effect

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Nonparametric estimation (62G05) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Applications of statistics in engineering and industry; control charts (62P30)

Related Items (6)

Bayesian additive regression trees in spatial data analysis with sparse observations ⋮ A directionally varying change points model for quantifying the impact of a point source ⋮ A causal mediation model for longitudinal mediators and survival outcomes with an application to animal behavior ⋮ Causal mediation analysis for sparse and irregular longitudinal data ⋮ Bayesian methods for multiple mediators: relating principal stratification and causal mediation in the analysis of power plant emission controls ⋮ Bipartite causal inference with interference

Cites Work

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• A Bayesian Semiparametric Approach to Intermediate Variables in Causal Inference
• Estimating causal effects of air quality regulations using principal stratification for spatially correlated multivariate intermediate outcomes
• Causal mediation analysis with multiple mediators
• Evaluating Candidate Principal Surrogate Endpoints
• Related Causal Frameworks for Surrogate Outcomes
• Bayesian curve fitting using multivariate normal mixtures
• Direct and Indirect Causal Effects via Potential Outcomes*
• Bayesian Inference for the Causal Effect of Mediation
• A framework for Bayesian nonparametric inference for causal effects of mediation
• Direct and Indirect Effects

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