Estimating exposure response functions using ambient pollution concentrations

DOI10.1214/08-AOAS177zbMath1168.62397arXiv0710.5805MaRDI QIDQ999660

Gavin Shaddick, James V. Zidek, Duncan Lee, Ruth Salway

Publication date: 10 February 2009

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

Full work available at URL: https://arxiv.org/abs/0710.5805

zbMATH Keywords

air pollutionBayesian hierarchical modelsenvironmental epidemiologypersonal exposure simulator

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (6)

A statistical modeling approach for air quality data based on physical dispersion processes and its application to ozone modeling ⋮ Modeling hourly ozone concentration fields ⋮ A causal exposure response function with local adjustment for confounding: estimating health effects of exposure to low levels of ambient fine particulate matter ⋮ Special section on statistics in the atmospheric sciences ⋮ Estimating exposure response functions using ambient pollution concentrations ⋮ Spatial Modeling of Air Pollution in Studies of Its Short-Term Health Effects

Uses Software

• BayesDA

Cites Work

• Unnamed Item
• Estimating exposure response functions using ambient pollution concentrations
• Modelling Daily Multivariate Pollutant Data at Multiple Sites
• A hybrid model for reducing ecological bias
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• Generalized additive distributed lag models: quantifying mortality displacement
• Bayesian Measures of Model Complexity and Fit
• A Statistical Framework for Ecological and Aggregate Studies
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

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