A Gaussian process model enables data-adaptive integration of nonconcurrent controls in platform trials, reducing posterior variance with a non-increasing bias bound.
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Robust and Data-Adaptive Integration of Nonconcurrent Data in Platform Trials via Gaussian Processes
A Gaussian process model enables data-adaptive integration of nonconcurrent controls in platform trials, reducing posterior variance with a non-increasing bias bound.