This paper presents a brief overview of the recent literature on adaptive design of clinical
trials from a Bayesian perspective for statistically not so sophisticated readers. Adaptive …

Background Randomization is the foundation of any clinical trial involving treatment
comparison. It helps mitigate selection bias, promotes similarity of treatment groups with …

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 …

Optimization of clinical trial designs can help investigators achieve higher quality results for
the given resource constraints. The present paper gives an overview of optimal designs for …

A/B testing is critical for modern technological companies to evaluate the effectiveness of
newly developed products against standard baselines. This paper studies optimal designs …

Adaptive Designs for Sequential Treatment Allocation presents a rigorous theoretical
treatment of the results and mathematical foundation of adaptive design theory. The book …

This book aids in identifying when to apply adaptive randomization designs in practice.
Featuring contributions from statisticians, clinical trialists, and subject-matter experts in …

Background Multi-arm designs provide an effective means of evaluating several treatments
within the same clinical trial. Given the large number of treatments now available for testing …

When planning a cluster randomized trial, evaluators often have access to an enumerated
cohort representing the target population of clusters. Practicalities of conducting the trial …

Randomization designs for multiarm clinical trials are increasingly used in practice,
especially in phase II dose‐ranging studies. Many new methods have been proposed in the …