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Hierarchical Bayes estimation of mortality rates for disease mapping

✍ Scribed by Tapabrata Maiti


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
506 KB
Volume
69
Category
Article
ISSN
0378-3758

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✦ Synopsis


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. (~) 1998 Elsevier Science B.V. All rights reserved.


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Using the official mortality statistics for the 46 districts of Lower Saxony (Federal Republic of Germany) for the years 1975-1977, the geographical distribution of mortality from cerebrovascular disease was studied. Only in women was a slight tendency towards higher rates in rural areas found. Ther