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Geographical and Environmental EpidemiologyMethods for Small Area Studies$
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P. Elliott, J. Cuzick, D. English, and R. Stern

Print publication date: 1996

Print ISBN-13: 9780192622358

Published to Oxford Scholarship Online: September 2009

DOI: 10.1093/acprof:oso/9780192622358.001.0001

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Bayesian methods for mapping disease risk

Bayesian methods for mapping disease risk

Chapter:
(p.205) 18 Bayesian methods for mapping disease risk
Source:
Geographical and Environmental Epidemiology
Author(s):

D. Clayton

L. Bernardinelli

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780192622358.003.0018

The construction of disease maps has been a central problem of descriptive epidemiology throughout its history. There are two main classes of disease maps: maps of standardized rates, and maps of statistical significance of the difference between risk in each area and the overall risk averaged over the entire map. This chapter focuses on the mapping problem with particular attention to smoothing maps of rates computed for small areas. The use of spatial correlation structure along with Bayesian concepts suggests ways of smoothing these maps.

Keywords:   Bayesian models, mapping, smoothing, small-area studies

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