Bayesian Detection of Clusters and Discontinuities in Disease Maps: Simulations. (REVISED, June 1999)

Knorr-Held, Leonhard and Rasser, G. (1999): Bayesian Detection of Clusters and Discontinuities in Disease Maps: Simulations. (REVISED, June 1999). Collaborative Research Center 386, Discussion Paper 142

Abstract

This paper is a supplement paper to Knorr-Held and Rasser (1999), Discussion Paper 107. "Bayesian Detection of Clusters and Discontinuities in Disease Maps", which describes a novel approach to disease mapping with particular emphasis on the detection of clusters and discontinuities in disease maps. First we investigate several features of the prior by simulations from the clustering model both for the 544 regions of Germany and for the 88 counties of Ohio state. Furthermore the method is applied to various artificial datasets for Ohio with and without spatial patterns. Sensitivity with respect to prior parameters is studied.

• Item Type: Paper
• Faculties: Mathematics, Computer Science and Statistics > Statistics > Collaborative Research Center 386; Special Research Fields > Special Research Field 386
• Subjects: 500 Science > 510 Mathematics
• Language: English