title: Empirical Bayes methods for disease mapping.
abstract: 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.
authors.affiliation: MRC Social and Public Health Sciences Unit, University of Glasgow, Glasgow, Scotland, UK. a.leyland@msoc.mrc.gla.ac.uk
authors.forename: Alastair H
authors.initials: AH
authors.lastname: Leyland
authors.forename: Carolyn A
authors.initials: CA
authors.lastname: Davies
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D004194:Disease; D036262:Empirical Research; D016021:Epidemiologic Studies; D006801:Humans; D015233:Models, Statistical; D012606:Scotland / Q000453:epidemiology