Causal inference in the context of an error prone exposure: air pollution and mortality

DOI10.1214/18-AOAS1206zbMath1418.62398arXiv1712.00642WikidataQ90931864 ScholiaQ90931864MaRDI QIDQ2415478

Qian Di, Marianthi-Anna Kioumourtzoglou, Christine Choirat, Xiao Wu, Danielle Braun, Francesca Dominici

Publication date: 22 May 2019

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

Full work available at URL: https://arxiv.org/abs/1712.00642

zbMATH Keywords

air pollutionmeasurement errorcausal inferenceregression calibrationobservational studyenvironmental epidemiologygeneralized propensity scores

Mathematics Subject Classification ID

Epidemiology (92D30) Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12)

Related Items (3)

Estimating a causal exposure response function with a continuous error-prone exposure: a study of fine particulate matter and all-cause mortality ⋮ Matching on Generalized Propensity Scores with Continuous Exposures ⋮ Estimating the Effects of Fine Particulate Matter on 432 Cardiovascular Diseases Using Multi-Outcome Regression With Tree-Structured Shrinkage

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