Tree-structured analysis of survival data and its application using SAS software

The purpose of this paper is to classify UIS data in order to identify their risk, reduce drug abuse, and to prevent high-risk in HIV behavior. A method for fitting proportional hazards models to censored survival data is described. Stratification is performed recursively. A tree-based method for censored survival data is developed, based on maximizing the difference in survival between groups of patients represented by nodes in a binary tree.