Improving adaptive seamless designs through Bayesian optimization

Volume: 64, Issue: 5, Pages: 948 - 963
Published: Feb 25, 2022
Abstract
We propose to use Bayesian optimization (BO) to improve the efficiency of the design selection process in clinical trials. BO is a method to optimize expensive black-box functions, by using a regression as a surrogate to guide the search. In clinical trials, planning test procedures and sample sizes is a crucial task. A common goal is to maximize the test power, given a set of treatments, corresponding effect sizes, and a total number of...
Paper Details
Title
Improving adaptive seamless designs through Bayesian optimization
Published Date
Feb 25, 2022
Volume
64
Issue
5
Pages
948 - 963
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