Hierarchical Bayes GLMs for the analysis of spatial data: An application to disease mapping
- 1 January 1999
- journal article
- Published by Elsevier in Journal of Statistical Planning and Inference
- Vol. 75 (2) , 305-318
- https://doi.org/10.1016/s0378-3758(98)00150-5
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Generalized Linear Models for Small-Area EstimationJournal of the American Statistical Association, 1998
- DISEASE MAPPING WITH ERRORS IN COVARIATESStatistics in Medicine, 1997
- Bayesian analysis of space—time variation in disease riskStatistics in Medicine, 1995
- Bayesian estimates of disease maps: How important are priors?Statistics in Medicine, 1995
- Spatial disease clusters: Detection and inferenceStatistics in Medicine, 1995
- Bayesian Computation and Stochastic SystemsStatistical Science, 1995
- Empirical bayes estimators for spatially correlated incidence ratesEnvironmetrics, 1994
- Approximate Inference in Generalized Linear Mixed ModelsJournal of the American Statistical Association, 1993
- Empirical bayes versus fully bayesian analysis of geographical variation in disease riskStatistics in Medicine, 1992
- Bayesian image restoration, with two applications in spatial statisticsAnnals of the Institute of Statistical Mathematics, 1991