The rise of internet-based services and products in the late 1990s brought about an
unprecedented opportunity for online businesses to engage in large scale data-driven …

Abstract Response-Adaptive Randomization (RAR) is part of a wider class of data-
dependent sampling algorithms, for which clinical trials are typically used as a motivating …

Clinical trials are constantly evolving in the context of increasingly complex research
questions and potentially limited resources. In this review article, we discuss the emergence …

There is growing interest in Bayesian clinical trial designs with informative prior distributions,
for example for extrapolation of adult data to pediatrics, or use of external controls. While the …

Comparative simulation studies are workhorse tools for benchmarking statistical methods.
As with other empirical studies, the success of simulation studies hinges on the quality of …

An attractive feature of using a Bayesian analysis for a clinical trial is that knowledge and
uncertainty about the treatment effect is summarized in a posterior probability distribution …

Adaptive clinical trials have designs that evolve over time because of changes to treatments
or changes to the chance that participants will receive these treatments. These changes …

Background A platform trial approach allows adding arms to on-going trials to speed up
intervention discovery programs. A control arm remains open for recruitment in a platform …

We are very grateful to the editors of Statistical Science and the discussants for the
opportunity to mark the finish line of our paper (Robertson et al., 2023c) with such a high …

Due to the dependency structure in the sampling process, adaptive trial designs create
challenges in point and interval estimation and in the calculation of P‐values. Optimal …