Creating Macros for Survival Data in Oncology Study

Abstract

AbstractIn this paper, we introduce some system functions and macros to create study specific survival variables for oncology clinical trials. We present five variables which show overall survival time, time to disease progression, duration of response, progression free survival and time to treatment failure for one particular study. We will be using survival analysis based on overall survival and censoring information. The purpose of this paper is to show the power and usefulness of SAS in clinical research, specifically studies which require time to event analysis based on death and survival information, such as cancer and HIV.