Adaptive designs are increasingly developed and used to improve all phases of clinical
trials and in biomedical studies in various ways to address different statistical issues. We first …

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

The Weibull distribution is applied to the number of days between the start date of drug
administration and the date of occurrence of an adverse event. The tendency of occurrence …

Bayesian adaptive designs formalize the use of previous knowledge at the planning stage of
an experiment, permitting recursive updating of the prior information. They often make use of …

Clinical trialists often face the challenge of balancing scientific questions with other design
features, such as improving efficiency, minimizing exposure to inferior treatments, and …

In clinical trials, comparisons of treatments with ordinal responses are frequently conducted
using the proportional odds model. However, the use of this model necessitates the …

Response-adaptive randomization designs are becoming increasingly popular in clinical
trial practice. In this paper, we present RARtool, a user interface software developed in …

We consider optimal design problems for dose-finding studies with censored Weibull time-to-
event outcomes. Locally D-optimal designs are investigated for a quadratic dose–response …

We construct an optimal design to simultaneously estimate three common interesting
features in a dose-finding trial with possibly different emphasis on each feature. These …

Background: Response-adaptive randomisation designs have been proposed to im-prove
the efficiency of phase III randomised clinical trials and improve the outcomes of the clinical …