Improving adaptive seamless designs through Bayesian optimization

DOI10.1002/bimj.202000389zbMath1523.62190arXiv2105.09223OpenAlexW3160404778MaRDI QIDQ6089921

Jakob Richter, Tim Friede, Jörg Rahnenführer

Publication date: 15 December 2023

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2105.09223

zbMATH Keywords

clinical trialsBayesian optimizationtreatment selectionadaptive seamless designs

Mathematics Subject Classification ID

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

Cites Work

• Efficient global optimization of expensive black-box functions
• A taxonomy of global optimization methods based on response surfaces
• Global optimization of stochastic black-box systems via sequential kriging meta-models
• Adaptive Sample Size Calculations in Group Sequential Trials
• A Comparison of Methods for Adaptive Treatment Selection
• Adaptive seamless clinical trials using early outcomes for treatment or subgroup selection: Methods, simulation model and their implementation in R

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