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How to quantify and interpret the treatment effects for comparative clinical studies of COVID-19 diseases?

  • Fri, January 29, 2021
  • 09:00 - 10:00


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Fri, January 29, 2021, 09:00 – 10:00AM (PDT), 12:00 – 1:00PM (EST)


Clinical trials of treatments for coronavirus disease 2019 (COVID-19) draw intense public attention. More than ever, valid, transparent, and intuitive summaries of the treatment effects, including efficacy and harm, are needed. In this talk, we will discuss the issues of the study endpoints selection and how to quantify and interpret the treatment difference using various endpoints. Specifically, we will talk about the concerns for the current COVID-19 trials and proposals for alternative procedures discussed in the attached publications.


L.J. Wei is a professor of Biostatistics at Harvard University. Before joining Harvard, he was a professor at University of Wisconsin, University of Michigan, and George Washington University. His main research interest is in the clinical trial methodology, especially in design, monitoring and analysis of studies. He has developed numerous novel statistical methods which are utilized in practice. He received the prestigious Wald Medal in 2009 from the American Statistical Association for his contribution to clinical trial methodology. He is a fellow of American Statistical Associating and Institute of Mathematical Statistics. In 2014, to honor his mentorship, Harvard School of Public Health established a Wei-family scholarship to support students studying biostatistics. His recent research area is concentrated on translational statistics, the personalize medicine under the risk-benefit paradigm via biomarkers and revitalizing clinical trial methodology. He has more than 220 publications and served on numerous editorial and scientific advisory boards for governments and industry. L. J. Wei has extensive working experience in regulatory science for developing and evaluating new drugs/devices.

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@Dahshu 2020

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