Bayesian experimental design is a fast growing area of research with many real‐world
applications. As computational power has increased over the years, so has the development …

Adaptive designs allow planned modifications based on data accumulating within a study.
The promise of greater flexibility and efficiency stimulates increasing interest in adaptive …

This document was developed to enable greater consistency in the practice, application,
and documentation of Model‐Informed Drug Discovery and Development (MID3) across the …

Optimal Design for Nonlinear Response Models discusses the theory and applications of
model-based experimental design with a strong emphasis on biopharmaceutical studies …

Bringing together leading statisticians, scientists, and clinicians from the pharmaceutical
industry, academia, and regulatory agencies, this volume explores the rapidly growing area …

Adaptive designs play an increasingly important role in clinical drug development. Such
designs use accumulating data of an ongoing trial to decide how to modify design aspects …

The statistical methodology for the design and analysis of clinical Phase II dose‐response
studies, with related software implementation, is well developed for the case of a normally …

This article reviews important considerations for researchers who are designing adaptive
clinical trials. These differ from conventional clinical trials because they allow and even …

Declining pharmaceutical industry productivity is well recognized by drug developers,
regulatory authorities and patient groups. A key part of the problem is that clinical studies are …

Abstract Proof-of-concept (POC) clinical trials play an important role in developing novel
treatments and determining whether existing treatments may be efficacious in broader …