Spatial heterogeneity in Bayesian disease mapping

Bayesian Modelling of Spatial Heterogeneity in Disease

mapping spatial variation of disease using classic and bayesian models

abstract   disease mapping includes a set of statistical techniques that lead to provide clean maps based on estimation of the incidence, prevalence and mortality rates for the users to be able to estimate the distribution of disease reliably. the main aims of disease mapping are to: describe the spatial variation in disease incidence for the formulation of etiological hypotheses; identify area...

mapping the obesity in iran by bayesian spatial model.

one of the methods used in the analysis of data related to diseases, and their underlying reasons is drawing geographical map. mapping diseases is a valuable tool to determine the regions of high rate of infliction requiring therapeutic interventions. the objective of this study was to investigate obesity pattern in iran by drawing geographical maps based on bayesian spatial model to recognize ...

Bayesian Prediction in Spatial Data Analysis

Bayesian Modelling of Spatial Heterogeneity in Disease Maps with Application to German Cancer Mortality Data