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Liu Aiyi, a senior researcher at the National Institutes of Health, gives report

  

  At the invitation of the School of Management and Economics, AiYi Liu. a senior researcher at the National Institutes of Health, a part-time professor at Georgetown University, and president of the Pan-China Statistical Association, visited our institute and gave an academic report entitled "On the Efficiency of Group Testing and Retesting for Estimating Rare Events" in the main building room 216 on the morning of June 26, 2018. The report was hosted by Professor Li Huiyun, Department of Accounting.

  AiYi Liu first introduced his research results, including the research background, theoretical basis, research results, practical applications of Group Testing and Retest. After the question and communication session, AiYi Liu patiently answered the questions raised by the teachers and classmates and conducted in-depth discussions with everyone. AiYi Liu shared his research experience with the students, and put forward many valuable opinions on how to apply statistical knowledge in management and empirical accounting research, how to conduct high-level research and thesis writing, and got enthusiastic responses from the students.

  

  AiYi Liu Personal Profile:

  Dr. Aiyi Liu is a senior investigator and current Acting Chief in the Biostatistics and Bioinformatics Branch of the National Institute of Health and Human Development, USA. His research interests in statistical methods development center around sequential methodology and adaptive designs; robust methods for multidimensional outcomes, design, analysis; and methods for semicontinuous outcomes. Dr. Liu is an active member of several professional societies, including the American Statistical Association (ASA) and the International Chinese Statistical Association (ICSA). He is an elected fellow of ASA and is currently the president of ICSA. He is an adjunct professor in department of biostatistics, bioinformatics and biomathematics in Georgetown University. He has published over 160 papers in statistical research and is the recipient of a number of NIH and NICHD merit awards.

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