Optimizing a Bayesian hierarchical adaptive platform trial design for stroke patients

Optimizing a Bayesian hierarchical adaptive platform trial design for stroke patients

Abstract Background Platform trials are well-known for their ability to investigate multiple arms on heterogeneous patient populations and their flexibility to add/drop treatment arms due to efficacy/lack of efficacy. Because of their complexity, it is important to develop highly optimized, transpar...

Full description

Bibliographic Details
Main Authors: Guangyi Gao, Byron J. Gajewski, Jo Wick, Jonathan Beall, Jeffrey L. Saver, Caitlyn Meinzer, the STEP-STONE Executive Committee
Format: Article
Language:English
Published: BMC 2022-09-01
Series:Trials
Subjects:
Platform trial design
Bayesian models
Hierarchical models
Response-adaptive randomization
Beta-binomial
Online Access:https://doi.org/10.1186/s13063-022-06664-4

Internet

https://doi.org/10.1186/s13063-022-06664-4

Similar Items