With many statistical software packages available, I’m curious about how others assess the suitability of these tools for managing clinical trial data. I’ve recently used SAS for a phase II trial and found its capabilities robust, but I’m interested in comparing it with R for future studies. How do you choose your tools based on data interpretation needs?
I switched from SAS to R for my last trial and found R’s visualization tools really helped in presenting complex data clearly. Have you considered the learning curve for R? It can be a bit steep at first.
It’s interesting that you found SAS robust; it definitely has its strengths. R’s flexibility for complex visualizations is a game-changer, but keep an eye on that steep learning curve — it’s like learning to ride a bike without training wheels! Have you thought about how your team’s experience might influence your choice?