| Literature DB >> 9131762 |
L Bernardinelli1, C Pascutto, N G Best, W R Gilks.
Abstract
We describe Bayesian hierarchical-spatial models for disease mapping with imprecisely observed ecological covariates. We posit smoothing priors for both the disease submodel and the covariate submodel. We apply the models to an analysis of insulin Dependent Diabetes Mellitus incidence in Sardinia, with malaria prevalence as a covariate.Entities:
Mesh:
Year: 1997 PMID: 9131762 DOI: 10.1002/(sici)1097-0258(19970415)16:7<741::aid-sim501>3.0.co;2-1
Source DB: PubMed Journal: Stat Med ISSN: 0277-6715 Impact factor: 2.373