Empirical Bayes methods for disease mapping

DOI10.1191/0962280205sm387oazbMath1057.62102OpenAlexW2099199107WikidataQ36029674 ScholiaQ36029674MaRDI QIDQ4662794

Carolyn A. Davies, Alastair H. Leyland

Publication date: 30 March 2005

Published in: Statistical Methods in Medical Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1191/0962280205sm387oa

zbMATH Keywords

EM algorithmpenalized quasi-likelihooditerative generalized least squaressmoothing areal data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (2)

Space-time border analysis to evaluate and detect clusters ⋮ Disease Mapping With Generative Models

Cites Work

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• A transitional non-parametric maximum pseudo-likelihood estimator for disease mapping
• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• Spatial Modeling of Regional Variables
• Multilevel mixed linear model analysis using iterative generalized least squares
• Restricted unbiased iterative generalized least-squares estimation
• Improved Approximations for Multilevel Models with Binary Responses
• Mapping Disease and Mortality Rates Using Empirical Bayes Estimators

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