44th Annual Conference of the International Society for Clinical Biostatistics

27 August 2023 - 31 August 2023
Joint Conference with the Italian Region of the International Biometric Society
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Conference

27-31 August 2023 
University of Milano-Bicocca Milan, Italy

The 44th Annual Conference of the International Society for Clinical Biostatistics (ISCB) is jointly organized with the Italian Region of the International Biometric Society.

It will be held from 27-31 August 2023, in Milan, ITALY, at the University of Milano Bicocca.

The ISCB Conference focuses both on methods and practical applications of biostatistics in medical, pharmaceutical and health-related research. Its aim is also to stimulate the use and development of new methods to further increase the value of scientific research in medicine.

The ISCB was founded in 1978 to stimulate research in the design and analysis of clinical research and increase the relevance of statistics to the world of clinical medicine. Its Annual Conference is a highly appreciated academic event that attracts 700 to 1000 researchers from the 5 continents.

The Annual Conference program extends over 5 days and includes teaching sessions, invited talks by distinguished specialists in the field, oral presentations of research papers, symposia, and poster displays.

The opening ceremony is scheduled for Monday, August 28th, at 9:00 AM in the Aula Magna. The event will be attended by distinguished figures including Professor Maria Grazia Valsecchi, Deputy Rector of the University of Milano-Bicocca Marco Orlandi, Deputy Mayor of Milan Anna Scavuzzo, and the Director of the Department of Medicine and Surgery at the University, Pietro Invernizzi.

The two plenary sessions will feature, among others, a presentation by Lisa McShane from the National Cancer Institute, USA, renowned for her expertise in the latest advancements in statistical methodology for precision medicine. Additionally, Vanessa Didelez, a distinguished expert from the University of Bremen, will discuss the challenges posed by clinical epidemiology in "real-world" and "clinical trial" studies.