Studying the Effect of Spatial Variable on Kidney Failure Data in Baghdad for the SAC Model

Abstract

In this paper, the effect of the spatial variable of kidney failure in Baghdad is studied using the general spatial autoregressive model (SAC), where the model was applied to the regular and modified spatial adjacency matrices and according to the adjacency criterion (Rook), using the estimation method represented by the maximum likelihood method, as it included the dependent variable (Y) is the number of people with creatinine in the blood, and the explained variables represent their levels after agreement with the specialized doctors as follows: (X1: Age, X2: Diabetes , X3:High blood pressure, X4: Gender, X5: Smoking). The most important results were that the data suffers from the effect of the spatial variable. It turns out that the modified spatial adjacency matrix (Rook) (Wadj) is the best in order to obtain the lowest standard value, and that the variables (X2, X3, X5) have a significant impact on Kidney failure disease in Baghdad.