On December 20, 2018 we released our second short video, Subgroup Analyses in Clinical Trials. This topic is presented by Dr. Ben Saville of Berry Consultants, LLC.

Identifying the appropriate patient population for an experimental therapy is an essential yet challenging task in clinical research.  Dr. Saville discusses issues surrounding subgroup analyses in this setting, including multiplicity and an increased chance of erroneous conclusions.  He lays out some general principles to consider when conducting subgroup analyses, and provides Bayesian solutions to properly address heterogeneity in patient response.

Ben Saville is a Senior Statistical Scientist for Berry Consultants, where he specializes in the design of innovative Bayesian adaptive clinical trials.  He works primarily with medical device companies, pharmaceutical companies, and academic investigators to solve challenging problems via Bayesian designs, many of which are reviewed by the U.S. Food and Drug Administration (FDA).  He is a frequent invited speaker at various statistical conferences, academic seminars, and lecture series, including short courses on adaptive clinical trial design.  Dr. Saville has authored more than 60 peer-reviewed publications in the statistical and medical literature.