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, transparent, and rigorous designs that are cost-efficient, offer high …