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‹ Friday, October 10, 2025 |
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9:00 - 12:00 (3h)
Plenary 4: Use of external information to improve decision making II
›9:00 (1h)
Covariate-adjusted Robust Mixture Prior approach in clinical trials with historical controls
Andrea Callegaro (GSK) 9:00 - 10:00 (1h)
Covariate-adjusted Robust Mixture Prior approach in clinical trials with historical controls
Andrea Callegaro (GSK)
›10:00 (1h)
10:00 - 11:00 (1h)
Health Techology Assessment view on use of external information
Beate Wieseler (IQWiG)
›11:00 (1h)
11:00 - 12:00 (1h)
Contributed speakers
14:00 - 17:00 (3h)
SHORT COURSE: ): Good Software Engineering Practice for R Packages - Daniel Sabanés Bové (RCONIS) & Jack Talboys (Novartis)
Join us for an engaging half-day face-to-face short-course designed to enhance your R programming skills with a focus on developing reliable R packages used in statistics or data science. This course is a blend of informative presentations and hands-on coding parts, aimed at equipping participants with practical tools and techniques for engineering high-quality R packages. This course is tailored for individuals who are already comfortable with writing functions in R and are looking to elevate their package development skills. Bring your laptop and be prepared to transform your approach to R package development through hands-on learning and collaboration. Whether you're looking to improve your workflow, meet regulatory standards, or simply enhance the quality of your statistical tools, this course offers valuable insights and skills to achieve your goals.
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Session | Speech | Logistics | Break | Tour |