Stage-Wise Adaptive Designs

Stage-Wise Adaptive Designs
Author: Shelemyahu Zacks
Publisher: John Wiley & Sons
Total Pages: 411
Release: 2009-05-11
Genre: Medical
ISBN: 0470466944
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An expert introduction to stage-wise adaptive designs in all areas of statistics Stage-Wise Adaptive Designs presents the theory and methodology of stage-wise adaptive design across various areas of study within the field of statistics, from sampling surveys and time series analysis to generalized linear models and decision theory. Providing the necessary background material along with illustrative S-PLUS functions, this book serves as a valuable introduction to the problems of adaptive designs. The author begins with a cohesive introduction to the subject and goes on to concentrate on generalized linear models, followed by stage-wise sampling procedures in sampling surveys. Adaptive forecasting in the area of time series analysis is presented in detail, and two chapters are devoted to applications in clinical trials. Bandits problems are also given a thorough treatment along with sequential detection of change-points, sequential applications in industrial statistics, and software reliability. S-Plus functions are available to accompany particular computations, and all examples can be worked out using R, which is available on the book's related FTP site. In addition, a detailed appendix outlines the use of these software functions, while an extensive bibliography directs readers to further research on the subject matter. Assuming only a basic background in statistical topics, Stage-Wise Adaptive Designs is an excellent supplement to statistics courses at the upper-undergraduate and graduate levels. It also serves as a valuable reference for researchers and practitioners in the fields of statistics and biostatistics.

Classical and Adaptive Clinical Trial Designs Using ExpDesign Studio

Classical and Adaptive Clinical Trial Designs Using ExpDesign Studio
Author: Mark Chang
Publisher: John Wiley & Sons
Total Pages: 284
Release: 2010-06-15
Genre: Medical
ISBN: 0470438568
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ExpDesign Studio facilitates more efficient clinical trial design This book introduces pharmaceutical statisticians, scientists, researchers, and others to ExpDesign Studio software for classical and adaptive designs of clinical trials. It includes the Professional Version 5.0 of ExpDesign Studio software that frees pharmaceutical professionals to focus on drug development and related challenges while the software handles the essential calculations and computations. After a hands-on introduction to the software and an overview of clinical trial designs encompassing numerous variations, Classical and Adaptive Clinical Trial Designs Using ExpDesign Studio: Covers both classical and adaptive clinical trial designs, monitoring, and analyses Explains various classical and adaptive designs including groupsequential, sample-size reestimation, dropping-loser, biomarker-adaptive, and response-adaptive randomization designs Includes instructions for over 100 design methods that have been implemented in ExpDesign Studio and step-by-step demos as well as real-world examples Emphasizes applications, yet covers key mathematical formulations Introduces readers to additional toolkits in ExpDesign Studio that help in designing, monitoring, and analyzing trials, such as the adaptive monitor, graphical calculator, the probability calculator, the confidence interval calculator, and more Presents comprehensive technique notes for sample-size calculation methods, grouped by the number of arms, the trial endpoint, and the analysis basis Written with practitioners in mind, this is an ideal self-study guide for not only statisticians, but also scientists, researchers, and professionals in the pharmaceutical industry, contract research organizations (CROs), and regulatory bodies. It's also a go-to reference for biostatisticians, pharmacokinetic specialists, and principal investigators involved in clinical trials. ERRATUM Classical and Adaptive Clinical Trial Designs Using ExpDesign Studio By Mark Chang The license for the ExpDesign Studio software on the CD included with this book is good for one-year after installation of the software. Prior to the expiration of this period, the software will generate a reminder about renewal for the license. The user should contact CTriSoft International (the owners of ExpDesign Studio) at www.CTriSoft.net or by email at [email protected], about renewal for the license. This should have been made clear in the first printing of this book. We apologize for this error.

Adaptive Design Theory and Implementation Using SAS and R, Second Edition

Adaptive Design Theory and Implementation Using SAS and R, Second Edition
Author: Mark Chang
Publisher: CRC Press
Total Pages: 709
Release: 2014-12-01
Genre: Mathematics
ISBN: 1482256592
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Get Up to Speed on Many Types of Adaptive Designs Since the publication of the first edition, there have been remarkable advances in the methodology and application of adaptive trials. Incorporating many of these new developments, Adaptive Design Theory and Implementation Using SAS and R, Second Edition offers a detailed framework to understand the use of various adaptive design methods in clinical trials. New to the Second Edition Twelve new chapters covering blinded and semi-blinded sample size reestimation design, pick-the-winners design, biomarker-informed adaptive design, Bayesian designs, adaptive multiregional trial design, SAS and R for group sequential design, and much more More analytical methods for K-stage adaptive designs, multiple-endpoint adaptive design, survival modeling, and adaptive treatment switching New material on sequential parallel designs with rerandomization and the skeleton approach in adaptive dose-escalation trials Twenty new SAS macros and R functions Enhanced end-of-chapter problems that give readers hands-on practice addressing issues encountered in designing real-life adaptive trials Covering even more adaptive designs, this book provides biostatisticians, clinical scientists, and regulatory reviewers with up-to-date details on this innovative area in pharmaceutical research and development. Practitioners will be able to improve the efficiency of their trial design, thereby reducing the time and cost of drug development.

Group Sequential and Confirmatory Adaptive Designs in Clinical Trials

Group Sequential and Confirmatory Adaptive Designs in Clinical Trials
Author: Gernot Wassmer
Publisher: Springer
Total Pages: 310
Release: 2016-07-04
Genre: Medical
ISBN: 3319325620
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This book provides an up-to-date review of the general principles of and techniques for confirmatory adaptive designs. Confirmatory adaptive designs are a generalization of group sequential designs. With these designs, interim analyses are performed in order to stop the trial prematurely under control of the Type I error rate. In adaptive designs, it is also permissible to perform a data-driven change of relevant aspects of the study design at interim stages. This includes, for example, a sample-size reassessment, a treatment-arm selection or a selection of a pre-specified sub-population. Essentially, this adaptive methodology was introduced in the 1990s. Since then, it has become popular and the object of intense discussion and still represents a rapidly growing field of statistical research. This book describes adaptive design methodology at an elementary level, while also considering designing and planning issues as well as methods for analyzing an adaptively planned trial. This includes estimation methods and methods for the determination of an overall p-value. Part I of the book provides the group sequential methods that are necessary for understanding and applying the adaptive design methodology supplied in Parts II and III of the book. The book contains many examples that illustrate use of the methods for practical application. The book is primarily written for applied statisticians from academia and industry who are interested in confirmatory adaptive designs. It is assumed that readers are familiar with the basic principles of descriptive statistics, parameter estimation and statistical testing. This book will also be suitable for an advanced statistical course for applied statisticians or clinicians with a sound statistical background.

Adaptive Design Theory and Implementation Using SAS and R

Adaptive Design Theory and Implementation Using SAS and R
Author: Mark Chang
Publisher: CRC Press
Total Pages: 442
Release: 2012-10-09
Genre: Mathematics
ISBN: 1584889632
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Adaptive design has become an important tool in modern pharmaceutical research and development. Compared to a classic trial design with static features, an adaptive design allows for the modification of the characteristics of ongoing trials based on cumulative information. Adaptive designs increase the probability of success, reduce costs and the t

Adaptive Design Methods in Clinical Trials

Adaptive Design Methods in Clinical Trials
Author: Shein-Chung Chow
Publisher: CRC Press
Total Pages: 368
Release: 2011-12-01
Genre: Mathematics
ISBN: 1439839883
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With new statistical and scientific issues arising in adaptive clinical trial design, including the U.S. FDA's recent draft guidance, a new edition of one of the first books on the topic is needed. Adaptive Design Methods in Clinical Trials, Second Edition reflects recent developments and regulatory positions on the use of adaptive designs in clini

Introductory Adaptive Trial Designs

Introductory Adaptive Trial Designs
Author: Mark Chang
Publisher: CRC Press
Total Pages: 226
Release: 2015-05-21
Genre: Mathematics
ISBN: 1498717470
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All the Essentials to Start Using Adaptive Designs in No TimeCompared to traditional clinical trial designs, adaptive designs often lead to increased success rates in drug development at reduced costs and time. Introductory Adaptive Trial Designs: A Practical Guide with R motivates newcomers to quickly and easily grasp the essence of adaptive desig

Principles and Practice of Clinical Trials

Principles and Practice of Clinical Trials
Author: Steven Piantadosi
Publisher: Springer Nature
Total Pages: 2573
Release: 2022-07-19
Genre: Medical
ISBN: 3319526367
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This is a comprehensive major reference work for our SpringerReference program covering clinical trials. Although the core of the Work will focus on the design, analysis, and interpretation of scientific data from clinical trials, a broad spectrum of clinical trial application areas will be covered in detail. This is an important time to develop such a Work, as drug safety and efficacy emphasizes the Clinical Trials process. Because of an immense and growing international disease burden, pharmaceutical and biotechnology companies continue to develop new drugs. Clinical trials have also become extremely globalized in the past 15 years, with over 225,000 international trials ongoing at this point in time. Principles in Practice of Clinical Trials is truly an interdisciplinary that will be divided into the following areas: 1) Clinical Trials Basic Perspectives 2) Regulation and Oversight 3) Basic Trial Designs 4) Advanced Trial Designs 5) Analysis 6) Trial Publication 7) Topics Related Specific Populations and Legal Aspects of Clinical Trials The Work is designed to be comprised of 175 chapters and approximately 2500 pages. The Work will be oriented like many of our SpringerReference Handbooks, presenting detailed and comprehensive expository chapters on broad subjects. The Editors are major figures in the field of clinical trials, and both have written textbooks on the topic. There will also be a slate of 7-8 renowned associate editors that will edit individual sections of the Reference.

Adaptive Group Sequential Designs with Control of the Population-wise Error Rate

Adaptive Group Sequential Designs with Control of the Population-wise Error Rate
Author: Charlie Hillner
Publisher:
Total Pages: 0
Release: 2021
Genre:
ISBN:
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The aim of individualized medicine is to provide each patient with a therapy tailored to his or her genetic profile. This is particularly important in diseases where the efficacy of a treatment depends on various individual-specific factors. Especially in rarer diseases or in highly stratified patient populations, proof of superiority of a new therapy may now prove difficult to achieve, as the necessary test power cannot be reached due to too small sample sizes. A good example is the field of pediatric oncology, where individualization of therapies plays an increasingly important role, but the underlying study populations are so limited that proof of superiority of therapy and stratification strategies is hardly possible under classical statistical principles. The aim of this work is to combine the flexibility of adaptive designs for clinical trials with the new requirements and dynamic development in individualized medicine. For this purpose, situations are considered in which the superiority of potentially different treatments is to be investigated in different, not necessarily disjoint subgroups of an overall population. In particular, these subgroups may thus be overlapping or nested. Since a multiplicity problem arises from testing several hypotheses on partly the same data material, but the family-wise error rate (FWER) often used here is too conservative, a new, less conservative multiple type I error criterion tailored to the particular subgroup structures is used in this work. This error criterion, termed the population-wise error rate (PWER), will be used as the basis for developing new multiple, sequential, and adaptive trial designs for testing individualized therapies. Specifically, single-stage test designs with PWER control were first developed and compared with corresponding FWER-controlling designs using various special cases. Next, group sequential designs controlling for PWER were constructed, here adapting various methods from the classical theory of group sequential designs. Last, adaptive designs with PWER-control were conceived and tested in numerical examples and simulations.

Bayesian Adaptive Methods for Clinical Trials

Bayesian Adaptive Methods for Clinical Trials
Author: Scott M. Berry
Publisher: CRC Press
Total Pages: 316
Release: 2010-07-19
Genre: Mathematics
ISBN: 1439825513
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Already popular in the analysis of medical device trials, adaptive Bayesian designs are increasingly being used in drug development for a wide variety of diseases and conditions, from Alzheimer's disease and multiple sclerosis to obesity, diabetes, hepatitis C, and HIV. Written by leading pioneers of Bayesian clinical trial designs, Bayesian Adapti