The case for a fully robust hierarchical Bayesian statistical analysis of clinical trials

Abstract

Two clinical trials (past and present), conjugate priors are compared with (Robust) Cauchy- Student-t and what we call Berger's prior. The behavior of the latter Robust Bayesian methods is qualitatively di erent from Conjugate Bayesian Methods and arguably much more reasonable and acceptable to the practitioner and regulatory agencies.