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Date: November 13, 2017
Author: Kert Viele
Hierarchical modeling is a powerful tool for making inferences about multiple groups in clinical trials, whether these groups are multiple indications or tumor types in an oncology study, multiple sites in a device clinical trial, or any other source of patient heterogeneity.
Hierarchical models that share information across groups form a backbone of modern Bayesian thinking.