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E-grāmata: Adaptive Design Methods in Clinical Trials

(Duke Univ, USA),
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Modifying trial and/or statistical procedures of on-going clinical trials based on accrued data is attractive to clinical scientists and researchers because it reflects real-world medicine, is ethical in terms of efficacy and safety, and is flexible and efficient, say Chow (medicine, Duke U., North Carolina) and Chang, with a Maryland drug company. They present the principles and methodologies in adaptive design and analysis, and summarize current regulations and recently developed statistical methods. This edition is revised based on feedback on the 2006 first edition, and incorporates developments in practice and current regulatory guidelines. The focus is on concepts rather than details of techniques or mathematics. Annotation ©2012 Book News, Inc., Portland, OR (booknews.com)

With new statistical and scientific issues arising in adaptive clinical trial design, including the U.S. FDA’s recent draft guidance, a new edition of one of the first books on the topic is needed.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 clinical trials. It unifies the vast and continuously growing literature and research activities on regulatory requirements, scientific and practical issues, and statistical methodology.

New to the Second Edition
Along with revisions throughout the text, this edition significantly updates the chapters on protocol amendment and clinical trial simulation to incorporate the latest changes. It also includes five entirely new chapters on two-stage adaptive design, biomarker adaptive trials, target clinical trials, sample size and power estimation, and regulatory perspectives.

Following in the tradition of its acclaimed predecessor, this second edition continues to offer an up-to-date resource for clinical scientists and researchers in academia, regulatory agencies, and the pharmaceutical industry. Written in an intuitive style at a basic mathematical and statistical level, the book maintains its practical approach with an emphasis on concepts via numerous examples and illustrations.

Recenzijas

"Those familiar with the first edition will find substantial updates as well as five entirely new chapters The scope is wide-ranging " ISCB News, 59, June 2015

"In this second edition, the authors update two chapters on protocol amendment and clinical trial simulation to reflect new developments after the first edition and add five new chapters. It also provides many useful algorithms for various designs and SAS code throughout the book. this is an excellent book with wonderful resources on adaptive design methods in clinical trials. It will be very useful to graduate students in the areas of clinical development and biostatistics looking for an advanced textbook on this topic. The book is very well written and a joy to read. I think it would be a critical addition to the bookshelf for statisticians involved in adaptive design and analysis in clinical trials." Hongfei Guo, Journal of the American Statistical Association, December 2013

"This second edition remains a useful reference source for anyone interested in advancing innovative trial designs and wishing to incorporate adaptations, modifications, and changes to the drug development process. Five new chapters have been added and are all worth reading; bringing the technical material covered up-to-date. For anyone working in, and studying, clinical research the book is worth purchasing and will make a valuable addition to any library. this revision continues to provide a balanced summary of statistical methods, together with the authors perspective on current regulatory practice." International Statistical Review, 80, 2012

Praise for the First Edition The authors are to be commended for the endeavour to provide a monograph about this rapidly evolving area in- to our knowledge- the first book specifically devoted to adaptive design methods . . . we think it provides a valuable contribution to the area of adaptive design. Frank Miller and Stig Johan Wiklund, AstraZeneca, Statistical Medicine, 2008, Vol. 27

In summary, this is an extremely useful book for clinical trials statisticians wishing to stay abreast with the innovative approaches that are being developed amid some controversies regarding their benefits. Yuko Palesch, Medical University of South Carolina, Journal of the American Statistical Association, March 2008, Vol. 103, No. 481

This book is one of the first of its kind to be released solely dealing with adaptive designs in clinical trials. a useful reference for those who have a mathematical background and wish to understand some of the adaptive design methodologies. With the ever-increasing need for adaptive trials, we could see this book having a large influence Pharmaceutical Statistics, 2008

a useful reference source for anyone interested in advancing innovative trial designs and wishing to incorporate adaptations, modifications, and changes to the drug, device, and biological developmental processes. C.M. OBrien, International Statistical Review, Vol. 75, No. 2, 2007

uses a broad definition of adaptive design methods .This breadth of coverage is to be commended and makes the book a useful reference and overview for anyone who is starting to explore this area the book is worth reading. Angela Wade, University College London, UK

The book covers a vast area. To my knowledge this book is the first attempt to provide a concise description of various methodologies in a highly dynamic area. The authors deserve to be praised for bringing this huge range of approaches, including very recent trends, together in one book . Tim Friede, University of Warwick, Biometrics, March 2008 "Those familiar with the first edition will find substantial updates as well as five entirely new chapters The scope is wide-ranging " ISCB News, 59, June 2015

"In this second edition, the authors update two chapters on protocol amendment and clinical trial simulation to reflect new developments after the first edition and add five new chapters. It also provides many useful algorithms for various designs and SAS code throughout the book. this is an excellent book with wonderful resources on adaptive design methods in clinical trials. It will be very useful to graduate students in the areas of clinical development and biostatistics looking for an advanced textbook on this topic. The book is very well written and a joy to read. I think it would be a critical addition to the bookshelf for statisticians involved in adaptive design and analysis in clinical trials." Hongfei Guo, Journal of the American Statistical Association, December 2013

"This second edition remains a useful reference source for anyone interested in advancing innovative trial designs and wishing to incorporate adaptations, modifications, and changes to the drug development process. Five new chapters have been added and are all worth reading; bringing the technical material covered up-to-date. For anyone working in, and studying, clinical research the book is worth purchasing and will make a valuable addition to any library. this revision continues to provide a balanced summary of statistical methods, together with the authors perspective on current regulatory practice." International Statistical Review, 80, 2012

Praise for the First Edition The authors are to be commended for the endeavour to provide a monograph about this rapidly evolving area in- to our knowledge- the first book specifically devoted to adaptive design methods . . . we think it provides a valuable contribution to the area of adaptive design. Frank Miller and Stig Johan Wiklund, AstraZeneca, Statistical Medicine, 2008, Vol. 27

In summary, this is an extremely useful book for clinical trials statisticians wishing to stay abreast with the innovative approaches that are being developed amid some controversies regarding their benefits. Yuko Palesch, Medical University of South Carolina, Journal of the American Statistical Association, March 2008, Vol. 103, No. 481

This book is one of the first of its kind to be released solely dealing with adaptive designs in clinical trials. a useful reference for those who have a mathematical background and wish to understand some of the adaptive design methodologies. With the ever-increasing need for adaptive trials, we could see this book having a large influence Pharmaceutical Statistics, 2008

a useful reference source for anyone interested in advancing innovative trial designs and wishing to incorporate adaptations, modifications, and changes to the drug, device, and biological developmental processes. C.M. OBrien, International Statistical Review, Vol. 75, No. 2, 2007

uses a broad definition of adaptive design methods .This breadth of coverage is to be commended and makes the book a useful reference and overview for anyone who is starting to explore this area the book is worth reading. Angela Wade, University College London, UK

The book covers a vast area. To my knowledge this book is the first attempt to provide a concise description of various methodologies in a highly dynamic area. The authors deserve to be praised for bringing this huge range of approaches, including very recent trends, together in one book . Tim Friede, University of Warwick, Biometrics, March 2008

Introduction. Protocol Amendment. Adaptive Randomization. Adaptive
Hypotheses. Adaptive Dose-Escalation Trials. Adaptive Group Sequential
Design. Statistical Tests for Seamless Adaptive Designs. Adaptive Sample Size
Adjustment. Two-Stage Adaptive Design. Adaptive Treatment Switching. Bayesian
Approach. Biomarker Adaptive Trials. Target Clinical Trials. Sample Size and
Power Estimation. Clinical Trial Simulation. Regulatory Perspectives A
Review of FDA Draft Guidance. Case Studies. Bibliography. Subject Index.
Shein-Chung Chow is a professor in the Department of Biostatistics and Bioinformatics at Duke University School of Medicine. Dr. Chow is also an adjunct professor of clinical sciences at DukeNational University of Singapore Graduate Medical School and the editor-in-chief of the Journal of Biopharmaceutical Statistics. He has authored or co-authored numerous papers and books, including the Handbook of Adaptive Designs in Pharmaceutical and Clinical Development and Controversial Statistical Issues in Clinical Trials.

Mark Chang is the executive director of biostatistics and data management at AMAG Pharmaceuticals and an adjunct professor at Boston University. A fellow of the American Statistical Association, Dr. Chang is a co-founder of the International Society for Biopharmaceutical Statistics and serves on the editorial boards of two statistical journals. He has authored many publications, including Adaptive Design Theory and Implementation Using SAS and R and Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies.