Statistical Methods for the Geographical Analysis of Rare Diseases

摘要: In this chapter we provide a summary of different methods for the detection disease clusters. First all, give computing estimates relative risk. These smoothed values risks that can account its spatial variation. Some assessing autocorrelation and general clustering are also discussed to test significant variation order find actual location clusters, scan introduced. The statistic is as well extension by means Generalised Linear Models allows inclusion covariates cluster effects. context, zero-inflated models introduced high number zeros appear when studying rare diseases. Finally, two applications these shown using data Systemic Lupus Erythematosus in Spain brain cancer Navarre (Spain).