Abstract
We review some principles and implementations of Bayesian model-based adaptive enrichment and population finding designs that exploit biomarker information to propose adaptive treatment allocation and recommend patient subpopulations that might most benefit from the treatments under consideration.
Cite
CITATION STYLE
APA
Xu, Y., Ji, Y., & Müller, P. (2015). Biomarker-driven adaptive design. In Nonparametric Bayesian Inference in Biostatistics (pp. 311–326). Springer International Publishing. https://doi.org/10.1007/978-3-319-19518-6_15
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