The biostatistics industry is moving towards a language-agnostic modality. SAS has been the go-to programming language for biostatistics for decades. But R and other open-source languages are increasingly being used for their distinct capabilities and methodologies, including flexible analytics, richer visualizations, and access to cutting-edge statistical methods.
But how do you ensure systems and processes stay validated in an ever-changing technological landscape?
Fill out our form to watch our webinaron leveraging R and SAS to their full potential while staying validated and compliant. During the webinar, we talked about:
- Open source and R vs traditional biostatistics tools
- New challenges presented using open-source technology
- Best practices for general use of R in pharma/life sciences
- The right approach to validation of R for clinical use
- How to maintain a validated R environment for ongoing use
