Open-source software has been increasingly popular in biostatistics and life sciences. While SAS has been the go-to programming language for biostatistics, R and other open-source languages are being utilized more often. R, known for its distinct capabilities and methodologies, including flexible analytics, richer visualizations, and access to cutting-edge statistical methods, is being used alongside SAS.
However, biostatistics teams still have important regulations to follow, so how do you ensure your systems stay validated?
Download our whitepaper to learn more 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
