Title of article :
Tree-structured analysis of survival data and its application using SAS software
Author/Authors :
Al-Nachawati, Hicham King Saud University - Department of Statistics and Operations Research, Saudi Arabia , Ismail, Moshirah King Saud University - Department of Statistics and Operations Research, Saudi Arabia , Almohisen, Amal King Saud University - Department of Statistics and Operations Research, Saudi Arabia
Abstract :
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.
Keywords :
Survival analysis , Proportional hazards regression , CART , UIS data
Journal title :
Journal Of King Saud University - Science
Journal title :
Journal Of King Saud University - Science
