TITLE: Bayesian Methods for Sample Size Determinations
INSTRUCTORS: Sujit K. Ghosh, NCSU and Fei Wang, Boehringer Ingelheim
MODERATOR: Naitee Ting
Fei Wang is a Senior Principal Data Scientist at Boehringer Ingelheim Pharmaceuticals, US. Her research interests are Bayesian design and modeling; Simulation-based Bayesian sample size determination; Translational medicine and biomarkers. She has more than 10 years’ experience in biopharmaceutical industry and 5 years’ experience in academic research and teaching. She worked in various therapeutic areas and supported submission projects. Before working in pharmaceutical industry, she was an Assistant Professor in the School of Public Health at Boston University for 5 years. She was in the Department of Health Policy and Management and worked in collaboration with the Center for Health Quality, Outcomes, & Economic Research. Her research interests are Bayesian hierarchical modeling in health policy, medical tests, and sample size determination. She did her postdoctoral work at Brown University after graduating from the Department of Statistics at the University of Connecticut.
Professor Sujit Kumar Ghosh earned a Ph.D. in Statistics from the University of Connecticut in 1996 and is currently a tenured faculty member at the rank of Full Professor in the Department of Statistics at North Carolina State University (NCSU) in Raleigh, NC, USA. He has over 22 years of experience in conducting, applying, evaluating and documenting statistical analysis of biomedical and environmental data. Prof. Ghosh is actively involved in teaching, supervising and mentoring graduate students at the doctoral and master levels. He has supervised over 35 doctoral graduate students and 5 post-doctoral fellows and he has served as a member on numerous other doctoral and master level committees.