ABSTRACT
Latent structure models are regarded as an effective tool in disease mapping for modeling the heterogeneity or discontinuity in risk surface. They provide a convenient framework in which homogeneous areas can be grouped together into clusters for discrimination of risk levels. While the applications of these models in spatial epidemiology are emerging, the wider use is hampered mainly because of limited software implementations in commonly used statistical software such as SAS or STATA.
