A Bayesian localized conditional autoregressive model for estimating the health effects of air pollution

DOI10.1111/biom.12156zbMath1419.62387arXiv1305.5445OpenAlexW2124376604WikidataQ34803487 ScholiaQ34803487MaRDI QIDQ5170213

Sujit K. Sahu, Duncan Lee, Alastair Rushworth

Publication date: 22 July 2014

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1305.5445

zbMATH Keywords

spatial autocorrelationconditional autoregressive modelsair pollution and health

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Medical applications (general) (92C50)

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Restricted covariance priors with applications in spatial statistics ⋮ Areal prediction of survey data using Bayesian spatial generalised linear models ⋮ Some recent work on multivariate Gaussian Markov random fields ⋮ A shared neighbor conditional autoregressive model for small area spatial data ⋮ Inducing high spatial correlation with randomly edge-weighted neighborhood graphs ⋮ Spatial product partition models ⋮ Diagnosing Glaucoma Progression with Visual Field Data Using a Spatiotemporal Boundary Detection Method

Cites Work

• The importance of scale for spatial-confounding bias and precision of spatial regression estimators
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• Adding Spatially-Correlated Errors Can Mess Up the Fixed Effect You Love
• An Approach to the Estimation of Chronic Air Pollution Effects Using Spatio-Temporal Information
• Hierarchical and Joint Site-Edge Methods for Medicare Hospice Service Region Boundary Analysis
• Bayesian Measures of Model Complexity and Fit
• Effects of Residual Smoothing on the Posterior of the Fixed Effects in Disease‐Mapping Models
• Bayesian multivariate areal wombling for multiple disease boundary analysis
• The relationship between the power prior and hierarchical models

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