Ph.D., biostatistics, Harvard University; M.A., biostatistics, University of California, Berkeley; B.S., applied mathematics, University of California, Los Angeles
Summary of Experience
Dr. Betts specializes in the application of advanced biostatistics techniques in the field of health economics and outcomes research. He has broad experience developing research strategies in a range of disease areas, including immunology, hematology, oncology, psychiatry, and virology. Dr. Betts has developed and applied new research methods in the fields of individualized medicine methodology, meta-analyses/indirect comparisons, Bayesian statistics, missing data problems, and risk prediction. His expertise includes the design and analysis of clinical trials, health economic modeling, indirect comparisons/network meta-analysis, psychometrics, survey design, and retrospective database analyses (including administrative claims, electronic medical records, and registry data). His recent work includes developing risk-benefit analyses, cost-effectiveness models, and network meta-analyses for regulatory submission, as well as treatment pattern and burden of illness research to support the launch of emerging products. Dr. Betts's research has been published in peer-reviewed statistical, medical, and health economics journals and presented at clinical and economic research conferences.