Download e-book Bayesian Adaptive Methods for Clinical Trials (Chapman & Hall/CRC Biostatistics Series)

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Written by leading pioneers of Bayesian clinical trial designs, Bayesian Adaptive Methods for Clinical Trials explores the growing role of Bayesian thinking in the rapidly changing world of clinical trial analysis. The book first summarizes the current state of clinical trial design and analysis and introduces the main ideas and potential benefits of a Bayesian alternative. It then gives an overview of basic Bayesian methodological and computational tools needed for Bayesian clinical trials.

In the following chapter on late Phase III studies, the authors emphasize modern adaptive methods and seamless Phase II—III trials for maximizing information usage and minimizing trial duration. They also describe a case study of a recently approved medical device to treat atrial fibrillation. The concluding chapter covers key special topics, such as the proper use of historical data, equivalence studies, and subgroup analysis.

Advanced Bayesian Methods for Medical Test Accuracy Chapman & Hall CRC Biostatistics Series

For readers involved in clinical trials research, this book significantly updates and expands their statistical toolkits. The authors provide many detailed examples drawing on real data sets. Statistical Approaches for Clinical Trials Introduction Comparisons between Bayesian and frequentist approaches Adaptivity in clinical trials Features and use of the Bayesian adaptive approach. Scott M.

Bayesian Adaptive Methods Clinical Trials by Bradley Carlin Jack Lee Peter

Berry is the President and Senior Statistical Scientist at Berry Consultants, a statistical consulting group specializing in adaptive clinical trial design in pharmaceutical and medical device research and development. Bradley P. Anderson Cancer Center. The authors, while clearly advocating the use of Bayesian approaches, nevertheless take a very pragmatic approach to the issue.

They argue for Bayesian methods that demonstrate good frequentist properties and that are practical to use. This is a refreshing change from some other books and papers that also advocate Bayesian methods, but which while theoretically interesting, are difficult to implement in practice. In summary, I found this book to be well written and interesting.

Bestselling Series

It is very timely given the interest in adaptive designs, and should be a useful resource for statisticians and nonstatisticians alike interested in adaptive clinical trials from a Bayesian perspective. This is the first serious text on adaptive designs using the Bayesian approach. Chernick, Technometrics , August It is written in an extremely readable style and is furnished with numerous examples and a great deal of helpful supplementary code. It covers the theoretical framework, provides software for the many excellent examples, and even delves into the practical regulatory issues that arise with the use of the designs.

This fine book represents the most recent and exciting developments in this area, and gives ample justification for the power and elegance of Bayesian trial design and analysis.


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Adaptive studies are a perfect application for a Bayesian approach, and I am confident that this book will be a major contribution to the science and practice of clinical trials. The book can also be recommended to clinical investigators and regulators who have a minimum level of formal training.

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Dose Finding by the Continual Reassessment Method (Chapman & Hall CRC Biostatistics Series)

The practice-oriented and real-problem-solving approach of the book shows the strengths, potentials, difficulties, and yes, also weaknesses of the Bayesian adaptive approach for drug and medical device development. The book is well written, contains a lot of real life examples, and provides web links to software code WinBUGS and R. In short, it is a fine practical handbook. Written by leading pioneers of Bayesian clinical trial designs, Bayesian Adaptive Methods for Clinical Trials explores the growing role of Bayesian thinking in the rapidly changing world of clinical trial analysis.

The book first summarizes the current state of clinical trial design and analysis and introduces the main ideas and potential benefits of a Bayesian alternative.

Chapman & Hall/CRC Biostatistics Series - Routledge

It then gives an overview of basic Bayesian methodological and computational tools needed for Bayesian clinical trials. In the following chapter on late Phase III studies, the authors emphasize modern adaptive methods and seamless Phase II—III trials for maximizing information usage and minimizing trial duration.

They also describe a case study of a recently approved medical device to treat atrial fibrillation. The concluding chapter covers key special topics, such as the proper use of historical data, equivalence studies, and subgroup analysis. For readers involved in clinical trials research, this book significantly updates and expands their statistical toolkits.

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The authors provide many detailed examples drawing on real data sets. Scott M. Berry is the President and Senior Statistical Scientist at Berry Consultants, a statistical consulting group specializing in adaptive clinical trial design in pharmaceutical and medical device research and development. Bradley P.