Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects, 1st Edition (Hardback) book cover

Modern Adaptive Randomized Clinical Trials

Statistical and Practical Aspects, 1st Edition

Edited by Oleksandr Sverdlov

Chapman and Hall/CRC

533 pages | 45 B/W Illus.

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Description

Is adaptive randomization always better than traditional fixed-schedule randomization? Which procedures should be used and under which circumstances? What special considerations are required for adaptive randomized trials? What kind of statistical inference should be used to achieve valid and unbiased treatment comparisons following adaptive randomization designs?

Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects answers these questions and more.

From novel designs to cutting-edge applications, this book presents several new and key developments in adaptive randomization. It also offers a fresh and critical look at a number of already-classical topics.

Featuring contributions from statisticians, clinical trialists, and subject-matter experts in academia and the pharmaceutical industry, the text:

  • Clarifies the taxonomy of the concept of adaptive randomization
  • Discusses restricted, covariate-adaptive, response-adaptive, and covariate-adjusted response-adaptive (CARA) randomization designs, as well as randomized designs with treatment selection
  • Gives an exposition to many novel adaptive randomization techniques such as brick tunnel randomization, targeted least absolute shrinkage and selection operator (LASSO)-based CARA randomization, multi-arm multi-stage (MAMS) designs, to name a few
  • Addresses the issues of statistical inference following covariate-adaptive and response-adaptive randomization designs
  • Describes a successful implementation of a single pivotal phase II/III adaptive trial in infants with proliferating hemangioma
  • Explores some practical aspects of phase II dose-ranging studies and examines statistical monitoring and interim analysis issues in response-adaptive randomized clinical trials

Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects covers a wide spectrum of topics related to adaptive randomization designs in contemporary clinical trials. The book provides a thorough exploration of the merits of adaptive randomization and aids in identifying when it is appropriate to apply such designs in practice.

Reviews

"The discussion of the various type of adaptive designs is quite thorough and broad, incorporating many of the recent advances in the field. The book provides an excellent theoretical description of many of the more commonly employed adaptations. … a valuable resource for researchers and practitioners in adaptive trial design. The book covers a wide range of topics in adaptive randomization, going into depth in a generalized framework that applies to a broad range of trial designs, and also includes some valuable methods on how to put these trials into practice."

Journal of Biopharmaceutical Statistics, Issue 2, 2016

This is an impressive and useful book, which covers various types of adaptive randomisation

designs and provides a thorough exploration of the merits of adaptive randomisation.

—Lili Zhao, Department of Biostatistics, University of Michigan

" . . the book meets its objective of providing an up-to-date discussiononadaptive randomization designs and their applications in clinical trials. It is a great resource for those who are new to the field or for those who want an overview of the latest methods."

—Stanley E. Lazic, AstraZeneca, Cambridge

"Overall, the book covers many aspects of adaptive randomization studies and reports many new developments in the field with detailed statistical considerations. As regulatory reviewers, we can see ourselves delving into this book when we receive a submission with an adaptive randomization trial . . . The book would also prove a valuable resource for researchers in the field of adaptive randomization."

—Xiting Yang and Gerry Gray, Food and Drug Administration

"Many authors participated in assembling the book, including worldclass statisticians, each of whom contributed to the completeness of the disclosure of the book’s topic. The core value of the book is more than in simply demonstrated theories and formulas, but also in advice given on their practical application, specified examples, references to modern regulatory rules and links to SAS & R codes. It is a really well organised book that will be useful first and foremost for statisticians involved in clinical trials."

International Society for Clinical Biostatistics

" . . . the book gives a broad overview of the different adaptive randomization strategies. Due to a clear organization and well-written introduction it is convenient to read, gives fascinating insights into different options, but may also raise further questions on applicability, acceptability, and gain in efficiency, stimulating further discussion and research in this area."

—Biometrical Journal , 2017

Table of Contents

Preface

Contributors

Introduction

An Overview of Adaptive Randomization Designs in Clinical Trials

Oleksandr Sverdlov

Restricted Randomization

Efron's Biased Coin Design Revisited: Statistical Properties, Randomization-Based Inference, and Sequential Monitoring

Victoria Plamadeala

Adaptive Biased Coins: Achieving Better Balance without Compromising Randomness

Alessandro Baldi Antognini and Maroussa Zagoraiou

Brick Tunnel and Wide Brick Tunnel Randomization for Studies with Unequal Allocation

Olga M. Kuznetsova and Yevgen Tymofyeyev

Covariate-Adaptive Randomization

Development of Novel Covariate-Adaptive Randomization Designs

Wenle Zhao

Optimal Model-Based Covariate-Adaptive Randomization Designs

Anthony Atkinson

Statistical Inference Following Covariate-Adaptive Randomisation: Recent Advances

D. Stephen Coad

Covariate-Adaptive Randomization with Unequal Allocation

Olga M. Kuznetsova and Yevgen Tymofyeyev

Response-Adaptive Randomization

Optimal Allocation Designs for a Multi-Arm Multi-Objective Clinical Trial

David Azriel

Response-Adaptive Randomization: An Overview of Designs and Asymptotic Theory

Li-Xin Zhang

Statistical Inference Following Response-Adaptive Randomization

Yanqing Yi and Xikui Wang

Sample Size Re-Estimation in Adaptively Randomized Clinical Trials with Missing Data

Ruitao Lin and Guosheng Yin

Some Caveats for Outcome Adaptive Randomization in Clinical Trials

Peter F. Thall, Patricia S. Fox, and J. Kyle Wathen

Covariate-Adjusted Response-Adaptive Randomization

Efficient and Ethical Adaptive Clinical Trial Designs to Detect Treatment–Covariate Interaction

Seung Won Hyun, Tao Huang, and Hongjian Zhu

Longitudinal Covariate-Adjusted Response-Adaptive Randomization: Impact of Missing Data

Tao Huang and Hongjian Zhu

Targeted Covariate-Adjusted Response-Adaptive LASSO-Based Randomized Controlled Trials

Antoine Chambaz, Mark J. van der Laan, and Wenjing Zheng

Covariate-Balanced Bayesian Adaptive Randomization: Achieving Tradeoff Between Inferential and Ethical Goals in Small and Moderate Size Trials

Ying Yuan and Jing Ning

Randomized Designs with Treatment Selection

Multi-Arm Multi-Stage Designs for Clinical Trials with Treatment Selection

James Wason

Sequential Elimination in Multi-Arm Selection Trials

Christina Yap, Xuejing Lin, and Ying Kuen K. Cheung

Accounting for Parameter Uncertainty in Two-Stage Designs for Phase II Dose-Response Studies

Emma McCallum and Björn Bornkamp

Application and Practical Aspects

A Single Pivotal Adaptive Trial in Infants with Proliferating Hemangioma: Rationale, Design Challenges, Experience, and Recommendations

Stephane Heritier, Caroline C. Morgan-Bouniol, Serigne N. Lô, Stephanie Gautier, and Jean Jacques Voisard

Practical Implementation of Dose–Response Adaptive Trials

Tom Parke and Martin Kimber

Statistical Monitoring of Data in Response-Adaptive Randomized Clinical Trials

Paul Gallo

About the Originator

About the Series

Chapman & Hall/CRC Biostatistics Series

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
MAT029000
MATHEMATICS / Probability & Statistics / General
MED071000
MEDICAL / Pharmacology
MED090000
MEDICAL / Biostatistics