Bayesian shared spatial-component models to combine and borrow strength across sparse disease surveillance sources
From MaRDI portal
Publication:2902548
DOI10.1002/bimj.201000106zbMath1244.62151OpenAlexW1917581155WikidataQ42652668 ScholiaQ42652668MaRDI QIDQ2902548
Sophie Ancelet, Colin Birch, Sylvia Richardson, Victor Javier Del Rio Vilas, Juan José Abellán
Publication date: 21 August 2012
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.201000106
Gaussian Markov random fieldsspatial epidemiologydata sparsenesspseudo cross-validatory predictive checks
Directional data; spatial statistics (62H11) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)
Related Items
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Bayesianly justifiable and relevant frequency calculations for the applied statistician
- Bayesian image restoration, with two applications in spatial statistics (with discussion)
- Coherent dispersion criteria for optimal experimental design
- Capture–Recapture Estimation by Means of Empirical Bayesian Smoothing with an Application to the Geographical Distribution of Hidden Scrapie in Great Britain
- Bayesian latent variable modelling of multivariate spatio-temporal variation in cancer mortality
- Multilevel Modelling of the Geographical Distributions of Diseases
- Hidden Markov Models and Disease Mapping
- Issues in the mapping of two diseases
- Bayesian Detection of Clusters and Discontinuities in Disease Maps
- Bayesian Measures of Model Complexity and Fit
- A Shared Component Model for Detecting Joint and Selective Clustering of Two Diseases
- Statistics for Spatial Data
- Strictly Proper Scoring Rules, Prediction, and Estimation
- Bayesian spatio-temporal analysis of joint patterns of male and female lung cancer risks in Yorkshire (UK)
- Joint spatial analysis of gastrointestinal infectious diseases
- Predictive Model Assessment for Count Data
- Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)
