2 papers
stat.ME2025
A computational method for type I error rate control in power-maximizing response-adaptive randomization
Stef Baas, Lukas Pin, SofÃa S. Villar +1
Maximizing statistical power in experimental design often involves imbalanced treatment allocation, but several challenges hinder its practical adoption: (1) the misconception that…
stat.ME2025
Revisiting Optimal Allocations for Binary Responses: Insights from Considering Type-I Error Rate Control
Lukas Pin, SofÃa S. Villar, William F. Rosenberger
This work revisits optimal response-adaptive designs from a type-I error rate perspective, highlighting when and how much these allocations exacerbate type-I error rate inflation -…