Guanghan Frank Liu is a distinguished scientist at Merck & Co. Inc. For the past 20 years, he has worked in a variety of therapeutic areas, including neuroscience, psychiatry, infectious disease, and vaccines. His research interests include methods for longitudinal trials, missing data, safety analysis, and noninferiority trials. Frank is a Fellow of ASA, and an associate editor for Journal of Biopharmaceutical Statistics and for Statistics in Biosciences. He also co-led a Bayesian missing data analysis subteam in the DIA Bayesian Working Groups. He has taught short courses previously at Deming conference and Regulatory-Industry workshop.
Fang Chen is a senior manager of Bayesian statistical modeling in the Advanced Analytics Division at SAS Institute Inc. Among his responsibilities are development of Bayesian analysis software and the MCMC procedure. Before joining SAS Institute, he received his PhD in statistics from Carnegie Mellon University in 2004. He has taught many short courses previously at statistical meetings including JSM, ENAR,ICSA Applied Statistics Symposium, and Regulatory-Industry workshop.