Jeff Mills
Associate Professor
Lindner College of Business
University of Cincinnati
Research interests: Bayesian inference, statistical hypothesis testing, meta-analyses, Bayesian adaptive randomized controlled trials, time series analysis.
Session
Physician scientists conducting clinical trials are typically not statisticians or computer scientists. Perhaps, in a perfect world, they would be, or more realistically could have statisticians and computer scientists on their research team, but that is often not the case. This leads to what we refer to as the “two-field problem.” Physician-researchers require sophisticated and powerful statistical tools to address complex inferential problems, yet these tools must be intuitive and user-friendly enough not to require advanced statistical knowledge and programming skills. Using Julia, we illustrate the application of Bayesian probabilistic biostatistics to meta-analyses of treatment effects and clinical trials. This combination of Julia and Bayesian methods provides a solution to the “two-field problem.”