Bayesian methods for mapping disease risk

D. Clayton and L. Bernardinelli

in Geographical and Environmental Epidemiology

Published in print July 1996 | ISBN: 9780192622358
Published online September 2009 | e-ISBN: 9780191723636 | DOI:
Bayesian methods for mapping disease risk

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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

Chapter.  6239 words. 

Subjects: Public Health and Epidemiology

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