Life sciences companies face increasing pressure to expand clinical analytics beyond traditional SAS workflows to support more flexible analyses, richer visualizations and faster access to evolving statistical methods. Using open-source languages such as R alongside the commercial SAS language provides access to distinct capabilities and methodologies enabled by the rapid evolution of open-source technology. This webinar will explore how to adopt R alongside SAS while maintaining the validation controls required for compliant clinical use.
With frequent changes and the ability for anyone to contribute, open-source languages rapidly evolve. However, these also introduce significant challenges for validation, a critical component of any technology used for the development and analysis of clinical data.
Register for our webinar on Thursday, February 26th at 2 pm EST, titled How to Safely Harness R and SAS for Cutting-Edge and Validated Clinical Analytics, where we will discuss how to leverage R and SAS to their full potential while staying validated and compliant. During the webinar, we’ll talk about:
