In order to further promote the exchange and collaboration between professional teachers and doctoral students in academia and industry, the School of Statistics and Management and Novartis Pharmaceuticals Corporation held a one-day "SHU--Novartis Statistics Workshop" on April 4th. The workshop was hosted by You Jinhong, Vice Dean of the School of Statistics and Management, and featured seven professionals including Dr. Frank Bretz, a part-time professor at the School of Statistics and Management and Global Head of Statistical Methods Team at Novartis Pharma AG, and Dr. Tang Dejun, a part-time professor at the School of Statistics and Management and Director at Novartis Pharmaceuticals Corporation, along with some young teachers and doctoral students from the School of Statistics and Management.

Dr. Frank Bretz, Dr. Tang Dejun, and biostatistics experts Xun Xiaolei and Xu Cong from Novartis Pharmaceuticals Beijing gave keynote presentations. Faculty members from the School of Statistics and Management, Associate Professor Chen Ying, Associate Professor Li Tao, Associate Professor Zhao Haibing, and Assistant Professor Xia Ningning, along with PhD students Wang Yixin, Zhuang Wei, and Liu Shu, also prepared keynote presentations for the workshop.

Beijing Novartis Pharmaceuticals Co., Ltd. previously established the Novartis Scholarship at the School of Statistics and Management and actively participated in the graduate teaching reform of the School of Statistics and Management, particularly in the practical teaching of the Master’s program in Applied Statistics. This workshop included 11 academic presentations, where experts from Novartis introduced the latest biostatistical research progress and its applications in drug development through four presentations: “Application of Simultaneous Confidence Bands in Drug Development,” “A Bayesian Futility Analysis in a Phase III Clinical Trial,” “Generalized Error Rates for Subgroup Analyses,” and “Joint modeling of longitudinal and survival data.” Young faculty and doctoral students from the School of Statistics and Management also delivered different types of thematic reports from a theoretical research perspective. During the interactive session after each presentation, faculty, students, and experts from Novartis engaged in in-depth discussions and exchanges. The holding of this workshop provided a new academic exchange platform for the School of Statistics and Management and Novartis, promoting the integration of academic research in the school with practical applications in the industry.


