Daniel J. Sharpe, Ph.D.

Daniel is an accomplished statistician whose current research interests are in Bayesian methods for survival and cost-effectiveness analysis, surrogate outcomes analysis, and indirect treatment comparisons. Daniel was a Vice Chancellor’s Scholar (Ph.D.) at the University of Cambridge and has published many contributions to statistics including invited review and editor’s choice articles, award-winning presentations, and state of the art software packages.