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Dr. Alexandra Hanlon: Coursera Presention on COVID-19 Vaccine Trial Design

The Coursera platform offers a Design of Experiments specialization that is instructed by Dr. Doug Montgomery, a Regents Professor of industrial engineering and statistics in the Ira A. Fulton Schools of Engineering at Arizona State University, and an expert in experimental design. Dr. Montgomery has taught academic courses on experimental design for over 40 years, and his Design of Experiments textbook, in its 10th edition and utilized in the specialization, is the most widely used textbook on the subject in the world. He has also led numerous engagements with Design of Experiments, teaching the course and consulting for more than 250 companies, including Motorola, Intel, Boeing and IBM. Drawing from these commercial experiences, Montgomery provides participants with an accurate understanding of modern approaches to using Design of Experiments.

Unique to this specialization, Dr. Montgomery hosts monthly fireside chats using Zoom where he discusses different topics in the areas and application of Design of Experiments concepts. On April 14, 2021, Dr. Montgomery hosted special guest Dr. Alexandra Hanlon, Director of the Center for Biostatistics and Health Data Science, and Professor of Practice in the Department of Statistics at Virginia Tech. During the session, Dr. Hanlon discussed clinical trial considerations in the context of the COVID-19 vaccine. Dr. Hanlon focused on the work that enabled the accelerated vaccine development timeline, placing emphasis on the key contributions of statisticians to the effort. In addition, Dr. Hanlon described important statistical considerations in the protocol development process, specifically overall study design, defining vaccine efficacy, deciding on the most relevant primary endpoint, the approach to power and sample size, interim monitoring, primary statistical methods, and correlates of disease. Dr. Hanlon concluded the session discussing the future direction in vaccine study design.