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.
Dokumententyp: | Paper |
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Fakultät: | Mathematik, Informatik und Statistik > Statistik > Sonderforschungsbereich 386
Sonderforschungsbereiche > Sonderforschungsbereich 386 |
Themengebiete: | 500 Naturwissenschaften und Mathematik > 510 Mathematik |
URN: | urn:nbn:de:bvb:19-epub-1531-5 |
Sprache: | Englisch |
Dokumenten ID: | 1531 |
Datum der Veröffentlichung auf Open Access LMU: | 04. Apr. 2007 |
Letzte Änderungen: | 04. Nov. 2020, 12:45 |