How to Deal with Large SAS Datasets in Clinical Trials
Clinical Programming Team | August 27, 2013
This slideshow focuses on the problems faced when working with large SAS datasets and ways to resolve these problems.
There are potential solutions by writing programs that focus on reducing any of the following four parameters: Data Storage space, Input/Output, CPU time and Memory. Since these parameters are interlinked, reducing one will result in increasing another - so the user would have to analyze the tradeoffs before coming up with the best possible solution.