Yan Wang


Los Angeles


Sc.D., biostatistics and environmental health, and M.S., environmental health, Harvard T.H. Chan School of Public Health; B.S., environmental science, and B.Econ, economics, Peking University, China

Summary of Experience

Dr. Wang specializes in the application of advanced biostatistics techniques in the field of health economics and outcomes research (HEOR). He has developed statistical methodologies in the fields of causal inference, survival analysis, penalized regression, smoothing techniques, and fast computation methods for extremely large datasets. He also has deep experience applying state-of-the-art statistical methods to biomedical research using large databases, such as Medicare data. Dr. Wang has contributed to studies in a wide range of disease areas, including oncology, metabolic disorders, neurology, immunology, cardiovascular disease, dermatology, and rheumatology. His case work includes network meta-analysis, matching-adjusted indirect comparisons, real-world database analysis, clinical trial data analysis, cost-per-outcome analysis, and cost-effectiveness analysis. His research has been published in multiple peer-reviewed journals, including The New England Journal of Medicine, The BMJ, Epidemiology, Biostatistics, and Environmental Health Perspectives, and his research has been presented at international conferences.

Selected Publishing