Empirical Bayes and fully Bayes procedures to detect high-risk areas in disease mapping

DOI10.1016/j.csda.2008.06.002zbMath1453.62221OpenAlexW1994671476MaRDI QIDQ961731

T. Goicoa, Ana F. Militino, Maria Dolores Ugarte

Publication date: 1 April 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.06.002

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Inference from spatial processes (62M30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (3)

One-sided empirical Bayes test for location parameter in Gamma distribution ⋮ Editorial. Spatial statistics: methods, models \& computation ⋮ Two-sided empirical Bayes test for location parameter in the gamma distribution

Uses Software

• WinBUGS
• OpenBUGS

Cites Work

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• Bayesian Statistical Modelling
• Estimation in Bayesian Disease Mapping
• Sampling-Based Approaches to Calculating Marginal Densities
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• A spatial scan statistic
• Hidden Markov Models and Disease Mapping
• Approximate Inference in Generalized Linear Mixed Models
• A Model Framework for Mortality and Health Data Classified by Age, Area, and Time
• The Estimation of the Mean Squared Error of Small-Area Estimators

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