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In oncology, the treatment paradigm is shifting toward personalized medicine, where the goal is to match patients to the treatments most likely to deliver benefit. Treatment effects in various subpopulations may provide some information about treatment effects in other subpopulations.

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