Prof. Wang’s methodological interests include statistical issues in design, analysis and reporting of clinical trials (e.g., win ratio method, Bayesian method, quasi-experimental design, QT correction methods, pharmacokinetic/pharmacodynamic modelling, meta-analysis, and trial simulation) and observational studies (e.g., longitudinal data and multilevel modelling, prognostic models, non-parametric regression, varying-coefficient models, the propensity score approach, data mining, machine learning, and big data analysis). His areas of applied research include infectious disease, cardiovascular disease, respiratory disease, oncology, maternal and child health, mental health, nutrition, and translational research. Prof. Wang has published over 200 papers on medical, clinical, and epidemiological research as well as statistical methodologies in a variety of prestigious journals such as NEJM, Lancet and JAMA and is the author of the book “Clinical Trials: A Practical Guide to Design, Analysis and Reporting”.