2 citations · 2 across the 2 of their papers we have counts for
3 papers
A computational method for type I error rate control in power-maximizing response-adaptive randomization
Stef Baas, Lukas Pin, Sofía 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…
Revisiting Optimal Allocations for Binary Responses: Insights from Considering Type-I Error Rate Control
Lukas Pin, Sofía 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 -…
Optimal sampling ratios in comparative diagnostic trials
Ting Dong, Liansheng Larry Tang, William F. Rosenberger
In this paper we focus on comparative diagnostic trials which are frequently employed to compare two markers with continuous or ordinal results. We derive explicit expressions for…