Home  |  Browse  |  Authors  |  Advanced Search  |  Help
Login | Create Account
Knorr-Held, Leonhard; Raßer, Günter and Becker, Nikolaus (2001): Disease Mapping of Stage-specific Cancer Incidence Data. Collaborative Research Center 386, Discussion Paper 249

Metadaten exportieren

Autor(en) recherchieren

Lesezeichen anlegen

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Reader
539Kb

Abstract

We propose two approaches for the spatial analysis of cancer incidence data with additional information on the stage of the disease at time of diagnosis. The two formulations are extensions of commonly used models for multicategorical response data on an ordinal scale. We include spatial and age group effects in both formulations, which we estimate in a nonparametric smooth way. More specifically, we adopt a fully Bayesian approach based on Gaussian pairwise difference priors where additional smoothing parameters are treated as unknown as well. We apply our methods to data on cervical cancer in the former German Democratic Republic. The results suggest that there are large spatial differences in the stage-proportions, which indicates spatial variability with respect to the introduction and effectiveness of screening programs.

Item Type:Paper (Research Paper)
Keywords:cancer screening; cervical cancer; cumulative model; disease mapping; ordered categorical response; pairwise difference prior; sequential model; stage-specific cancer incidence data
Subjects:Mathematics, Computer Science and Statistics
Mathematics, Computer Science and Statistics > Statistics
Mathematics, Computer Science and Statistics > Statistics > Collaborative Research Center 386
Dewey Classification:600 Natural sciences and mathematics
600 Natural sciences and mathematics > 510 Mathematics
URN:urn:nbn:de:bvb:19-epub-1629-2
ID Code:1629
Deposited On:05. Apr 2007
Last Modified:03. Apr 2012 13:36
Open Access LMU is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software creditsAbout