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Approaches to the space-time modelling of infectious disease behaviour.
Disease mapping models: an empirical evaluation. Disease Mapping Collaborative Group.
Modeling type 1 and type 2 diabetes mellitus incidence in youth: an application of Bayesian hierarchical regression for sparse small area data.
Spatio-temporal patterning of small area low birth weight incidence and its correlates: a latent spatial structure approach.
Applications of extraction mapping in environmental epidemiology.
The power of focused tests to detect disease clustering.
Joint disease mapping of cervical and male oropharyngeal cancer incidence in blacks and whites in South Carolina.
Conditional predictive inference for online surveillance of spatial disease incidence.
Tests for directional space-time interaction in epidemiological data.
Comparing INLA and OpenBUGS for hierarchical Poisson modeling in disease mapping.
Disease mapping of zero-excessive mesothelioma data in Flanders.
Space-time variation of respiratory cancers in South Carolina: a flexible multivariate mixture modeling approach to risk estimation.
Bayesian multi-scale modeling for aggregated disease mapping data.