The Effective Statistician - in association with PSI
R-Tool For Bayesian Statistics in Early Phase
Jul 4, 2024
Audrey Yeo, an expert in Bayesian Framework, discusses open-source development and collaboration in early-phase trials. Topics include binary endpoints, oncology focus, user experience, software engineering, and efficiency gain. Her innovative R package exemplifies advanced statistical tools driving efficiency and accuracy in decision-making for clinical trials.
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Quick takeaways
- Innovative R package by Audrey utilizes Bayesian framework for efficient decision-making in early-phase clinical trials on binary endpoints.
- Audrey's emphasis on user experience, open-source collaboration, and iterative improvement drives efficiency and user-friendly statistical software development.
Deep dives
Audrey's Multifaceted Experience and Tool Development
Audrey, with a background as a registered nurse and statistician at Roche, shares her journey spanning various areas, including nursing in COVID ICUs, oncology, and statistical software engineering. She highlights the Bayesian framework in her tool for early development, focusing on binary endpoints and efficient decision-making. This open-source tool, used at Russian Genentech and beyond oncology, emphasizes collaboration, iterative improvement, and user-friendly documentation.
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