Empirical Bayes methods for disease mapping.
This paper reviews empirical Bayes methods for disease mapping. A distinction is made between spatial models (which take into account the geographical distribution of disease) and nonspatial models. Several estimators are presented, and methods of estimation are described. Empirical Bayes methods are compared with full Bayes methods, and we argue that both have their place.
Leyland
Alastair H
AH
MRC Social and Public Health Sciences Unit, University of Glasgow, Glasgow, Scotland, UK. a.leyland@msoc.mrc.gla.ac.uk
Davies
Carolyn A
CA
D000465:Algorithms; D001499:Bayes Theorem; D004194:Disease; D036262:Empirical Research; D016021:Epidemiologic Studies; D006801:Humans; D015233:Models, Statistical; D012606:Scotland / Q000453:epidemiology