A data-set consisting of 112 residents in the 76 municipalities of the Departments of Bari and taranto (Apulia, Italy) diagnosed as suffering from malignant mesothelioma between 1990 and 1995 is analyzed. We show that finite mixture models are effective to produce a natural calssification of areas into a finite number risk levels without oversmoothing observed standardized incidence rates, as Hierarchical Bayesian methods do. Results are discussed in connection woth the past and present local industrial structure of the abive mentioned areas.

Finite mixture models for disease mapping: an application to the incidence of malignant mesothelioma in Apulia, Italy

BILANCIA, Massimo;POLLICE, Alessio
2001-01-01

Abstract

A data-set consisting of 112 residents in the 76 municipalities of the Departments of Bari and taranto (Apulia, Italy) diagnosed as suffering from malignant mesothelioma between 1990 and 1995 is analyzed. We show that finite mixture models are effective to produce a natural calssification of areas into a finite number risk levels without oversmoothing observed standardized incidence rates, as Hierarchical Bayesian methods do. Results are discussed in connection woth the past and present local industrial structure of the abive mentioned areas.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/131325
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