Bayesian hierarchical modeling of patient subpopulations: Efficient designs of Phase II oncology clinical trials

Abstract

The Bayesian hierarchical design is more likely to correctly conclude efficacy or futility than the other two designs in many scenarios. The Bayesian hierarchical design is a strong design for addressing possibly differential effects in different groups.