Data Simulation for Piloting Clinical Trials Display Programs
In a fast-paced clinical trials computing environment, programmers often need to create tables, listings, and figures within a limited time span. In these cases, available working data sets are paramount to insure quality deliveries. The SAS system offers many tools for simulating data which allow users to pilot their display programs prior to receiving real working data sets. This paper explores the use of SAS functions and macro processing to generate artificial data using gamma and binomial random variates. The SAS macro presented in this paper uses these functions to simulate patient-level and Adverse Event (AE) data sets. The results of these simulations are then used to populate abbreviated tables and listings.