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Optimized Response-Adaptive Clinical Trials, Thomas Ondra


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Цена: 9141.00р.
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Автор: Thomas Ondra
Название:  Optimized Response-Adaptive Clinical Trials
ISBN: 9783658083434
Издательство: Springer
Классификация:


ISBN-10: 3658083433
Обложка/Формат: Paperback
Страницы: 102
Вес: 0.17 кг.
Дата издания: 18.12.2014
Серия: BestMasters
Язык: English
Размер: 214 x 149 x 11
Основная тема: Mathematics
Подзаголовок: Sequential Treatment Allocation Based on Markov Decision Problems
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Two-armed response-adaptive clinical trials are modelled as Markov decision problems to pursue two overriding objectives: Firstly, to identify the superior treatment at the end of the trial and, secondly, to keep the number of patients receiving the inferior treatment small.


Bayesian adaptive methods for clinical trials

Автор: Berry, Donald A. Berry, Scott M. Carlin, Bradley P
Название: Bayesian adaptive methods for clinical trials
ISBN: 1439825483 ISBN-13(EAN): 9781439825488
Издательство: Taylor&Francis
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Цена: 16843.00 р.
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Описание: Explores the growing role of Bayesian thinking in the rapidly changing world of clinical trial analysis. This book summarizes the state of clinical trial design and analysis and introduces the main ideas and potential benefits of a Bayesian alternative.

Group Sequential and Confirmatory Adaptive Designs in Clinical Trials

Автор: Wassmer
Название: Group Sequential and Confirmatory Adaptive Designs in Clinical Trials
ISBN: 3319325604 ISBN-13(EAN): 9783319325606
Издательство: Springer
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Цена: 18167.00 р.
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Описание: 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.


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