Hierarchical Bayes estimation of mortality rates for disease mapping |
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| Affiliation: | 1. Center for Statistical Research and Methodology, U.S. Census Bureau, Washington, DC 20233, USA;2. Center for Disclosure Avoidance Research, U.S. Census Bureau, Washington, DC 20233, USA;3. Department of Mathematics and Statistics, University of Maryland, Baltimore County, Baltimore, MD 21250, USA;1. Physics Department, University of Guilan, Rasht, Guilan 41938-33697, Iran;2. School of Mechanical and Electrical Engineering, Faculty of Health, Engineering and Sciences, University of Southern Queensland, Toowoomba, Qld 4350, Australia;1. Institute of Mathematics, Poznań University of Technology, Poznań, Poland;2. Institute of Mathematics, P. J. Šafárik University, Košice, Slovakia |
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| Abstract: | Mapping of incidence rates or mortality rates (relative risks) from diseases like cancer and leukemia is of primary importance in an epidemiological study. The usual procedure is to map the standardized mortality ratio (SMR) across different geographical regions. Direct use of SMR may not be worthwhile, particularly for small places, as it does not take into account the high variability for different population sizes over different regions and the spatial patterns of the regions under study. In this paper a hierarchical Bayes approach is presented in smoothing the relative risks and providing the measures of uncertainty associated with these estimates of relative risks. |
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