TAN Say Beng

TAN Say Beng is an Associate Professor jointly appointed at the National University of Singapore's Saw Swee Hock School of Public Health, while holding primary roles as Group Director of Research at SingHealth and Senior Associate Dean in Duke-NUS Medical School's Office of Clinical Sciences. His extensive leadership includes directing national research initiatives and biostatistics units across Singapore's healthcare ecosystem.

Education: He holds a PhD, MSc, and MA, though specific disciplines and awarding institutions are not detailed in the source material.

Research Focus: His expertise centers on two interconnected domains:

• Clinical Trials: Specializing in methodological innovations for trial design (including Bayesian approaches and adaptive designs), strategies for rare disease studies, and efficiency optimization in randomized controlled trials.
• Biostatistics: Developing quantitative frameworks for oncology outcomes, survival analysis, and epidemiological modeling, with applications in liver cancer and surgical prognostics.

Publication Themes: His scholarly work (2002-2014) demonstrates progression from foundational statistical methodologies to applied clinical research. Early publications established Bayesian frameworks for Phase II trials and rare cancer strategies, while later works translated these methods into oncology practice—particularly in hepatocellular carcinoma therapy optimization and surgical outcome prediction.