R-Tool For Bayesian Statistics in Early Phase
- Author
- Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry
- Published
- Thu 04 Jul 2024
- Episode Link
- https://podcastae8fac.podigee.io/377-new-episode
Interview with Audrey Yeo
Key points:
- Bayesian Framework
- PSI Conference with Audrey
- Early-Phase Trials on binary endpoints for decision-making.
- Commitment to open-source development and collaboration.
- Clinical Decision Process
- Binary Endpoints
- Oncology Focus
- User Experience
- Collaboration
- Efficiency Gain
- Software Engineering
- User Feedback
- Community Involvement
As we wrap up, it's clear that better decision-making in early-phase clinical trials is not just a necessity but a transformative step for the industry. Audrey’s innovative R package, grounded in a Bayesian framework, exemplifies how advanced statistical tools can drive efficiency and accuracy.
Don't miss out on this deep dive into cutting-edge statistical software. Listen to the full episode to learn more, and be sure to share it with your colleagues who are passionate about improving clinical trial methodologies. Together, we can drive the future of effective statistics.
