Discover our array of short courses (virtual and F2F) on topics in biopharmaceutical statistics at the ISBS Symposium on March 6! All courses are also conveniently available for virtual attendance. Meet our outstanding faculty, including Cong Chen, Ying Yuan, Fariba Khanshan, Rebecca Piccolo, Mark Chang, Dong Xi, Robin Dunn, Jiarui Lu, Mark van der Laan, Susan Gruber, Stefan Konigorski, Hana Lee, and Jie Chen.
For further information and registrion see https://lnkd.in/dsYkW7x3
Short courses:
* Machine Learning for Clinical Trials and Humanized AI for Future Healthcare and Beyond. (Mark Chang, Boston University)
* Dose Optimization: Where the Rubber Meets the Road. (Ying Yuan, M.D. Anderson Cancer Center)
* Do you speak statistics? – how do you work as a statistician in a cross-functional team? (Rebecca Piccolo and Fariba Khanshan, Novartis Pharmaceuticals Corporation)
* Targeted Learning for generating reliable real-world evidence. Mark van der Laan, University of California at Berkeley and Susan Gruber, TL Revolution)
?* Statistical Considerations for Early-to-Late Transition in Oncology Drug Development. (Cong Chen, Merck)
* Causal Inference in Randomized Controlled Trials. (Dong Xi, Gilead Sciences; Robin Dunn, Novartis Pharmaceuticals Corporation; Jiarui Lu, Novartis Pharmaceuticals Corporation)
* Next-generation digital N-of-1 trials. (Stefan Konigorski, ?Hasso Plattner Institute for Digital Engineering)
* RWE in Drug Development and Regulatory Science. (Hana Lee, FDA and Jie Chen, ECR Global)
For further information, schedules and registration see?https://lnkd.in/dsYkW7x3
The 7th International Symposium on Biopharmaceutical Statistics will take place on March 6 – 9, 2024, at Hilton Baltimore Inner Harbor. The symposium is organized by the International Society for Biopharmaceutical Statistics with a theme on “Statistical innovation in the era of integrated evidence for medical product development”.
#shortcourse #biostatistics #datascience #regulatoryaffairs #drugdevelopment Cindy Lu Toshimitsu Hamasaki Frank (Xiaoyin) F.
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