A signature enrichment design with Bayesian adaptive randomization

DOI10.1080/02664763.2020.1757048OpenAlexW3023631934MaRDI QIDQ5861555

Stephen L. George, Jing Ning, Liang Li, Xuelin Huang, Fang Xia

Publication date: 1 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132854

zbMATH Keywords

classifieradaptive designbiomarkerprecision medicineBayesian adaptive randomizationenrichment strategy

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics (62Pxx)

Uses Software

• BayesDA

Cites Work

• Design and analysis of DNA microarray investigations.
• Development and validation of biomarker classifiers for treatment selection
• Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• A Unified Theory of Two-Stage Adaptive Designs
• The Theory of Response‐Adaptive Randomization in Clinical Trials
• Random forests
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