clinical trial design bayesian and frequentist adaptive methods

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Bayesian Adaptive Methods For Clinical Trials

Author : Scott M. Berry
ISBN : 1439825513
Genre : Mathematics
File Size : 41. 21 MB
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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 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. With a focus on Bayesian designs that achieve good power and Type I error, the next chapters present Bayesian tools useful in early (Phase I) and middle (Phase II) clinical trials as well as two recent Bayesian adaptive Phase II studies: the BATTLE and ISPY-2 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. The authors provide many detailed examples drawing on real data sets. The R and WinBUGS codes used throughout are available on supporting websites. Scott Berry talks about the book on the CRC Press YouTube Channel.

Clinical Trial Design

Author : Guosheng Yin
ISBN : 9781118183328
Genre : Medical
File Size : 85. 15 MB
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A balanced treatment of the theories, methodologies, and design issues involved in clinical trials using statistical methods There has been enormous interest and development in Bayesian adaptive designs, especially for early phases of clinical trials. However, for phase III trials, frequentist methods still play a dominant role through controlling type I and type II errors in the hypothesis testing framework. From practical perspectives, Clinical Trial Design: Bayesian and Frequentist Adaptive Methods provides comprehensive coverage of both Bayesian and frequentist approaches to all phases of clinical trial design. Before underpinning various adaptive methods, the book establishes an overview of the fundamentals of clinical trials as well as a comparison of Bayesian and frequentist statistics. Recognizing that clinical trial design is one of the most important and useful skills in the pharmaceutical industry, this book provides detailed discussions on a variety of statistical designs, their properties, and operating characteristics for phase I, II, and III clinical trials as well as an introduction to phase IV trials. Many practical issues and challenges arising in clinical trials are addressed. Additional topics of coverage include: Risk and benefit analysis for toxicity and efficacy trade-offs Bayesian predictive probability trial monitoring Bayesian adaptive randomization Late onset toxicity and response Dose finding in drug combination trials Targeted therapy designs The author utilizes cutting-edge clinical trial designs and statistical methods that have been employed at the world's leading medical centers as well as in the pharmaceutical industry. The software used throughout the book is freely available on the book's related website, equipping readers with the necessary tools for designing clinical trials. Clinical Trial Design is an excellent book for courses on the topic at the graduate level. The book also serves as a valuable reference for statisticians and biostatisticians in the pharmaceutical industry as well as for researchers and practitioners who design, conduct, and monitor clinical trials in their everyday work.

Multiple Comparisons Using R

Author : Frank Bretz
ISBN : 1420010905
Genre : Mathematics
File Size : 68. 31 MB
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Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at After giving examples of multiplicity problems, the book covers general concepts and basic multiple comparisons procedures, including the Bonferroni method and Simes’ test. It then shows how to perform parametric multiple comparisons in standard linear models and general parametric models. It also introduces the multcomp package in R, which offers a convenient interface to perform multiple comparisons in a general context. Following this theoretical framework, the book explores applications involving the Dunnett test, Tukey’s all pairwise comparisons, and general multiple contrast tests for standard regression models, mixed-effects models, and parametric survival models. The last chapter reviews other multiple comparison procedures, such as resampling-based procedures, methods for group sequential or adaptive designs, and the combination of multiple comparison procedures with modeling techniques. Controlling multiplicity in experiments ensures better decision making and safeguards against false claims. A self-contained introduction to multiple comparison procedures, this book offers strategies for constructing the procedures and illustrates the framework for multiple hypotheses testing in general parametric models. It is suitable for readers with R experience but limited knowledge of multiple comparison procedures and vice versa. See Dr. Bretz discuss the book.

Bayesian Approaches To Clinical Trials And Health Care Evaluation

Author : David J. Spiegelhalter
ISBN : 0471499757
Genre : Mathematics
File Size : 82. 50 MB
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The Bayesian approach involves collecting data from past experience in order to reach conclusions about future events. This introduction covers a broad array of topics. It is for statisticians in the pharmaceutical industry, as well as anyone involved in conducting clinical trials and HTA work.

Painless Evidence Based Medicine

Author : Antonio L. Dans
ISBN : 9781119964490
Genre : Medical
File Size : 26. 54 MB
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This concise book presents evidence-based medicine to neophytes in simplified, friendly language. Basic concepts and application of research statistics are presented in simple sequences that are non-threatening even to the mathematically challenged. The authors emphasize two important aspects of appraisal: 1) how directly it provides an answer to the clinical problem at hand and 2) how well results can be generalized to various populations. Painless Evidence-Based Medicine: Offers a simplified approach to the complex or technical subject of evidence-based medicine, in terms of presentation as well as content Is truly designed for the world market place Breaks the subject into succinct chapters, each chapter being a self sufficient introduction to the topic Includes pre-tested ‘tackle boxes’ throughout to help readers understand the issues Painless Evidence-Based Medicine is an invaluable resource for medical students, clinicians, clinical epidemiology practitioners, and everyone involved in health care.

Design And Analysis Of Clinical Trials

Author : Shein-Chung Chow
ISBN : 9781118458143
Genre : Mathematics
File Size : 44. 79 MB
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Praise for the Second Edition: “...a grand feast for biostatisticians. It stands ready to satisfy the appetite of any pharmaceutical scientist with a respectable statistical appetite.” —Journal of Clinical Research Best Practices The Third Edition of Design and Analysis of Clinical Trials provides complete, comprehensive, and expanded coverage of recent health treatments and interventions. Featuring a unified presentation, the book provides a well-balanced summary of current regulatory requirements and recently developed statistical methods as well as an overview of the various designs and analyses that are utilized at different stages of clinical research and development. Additional features of this Third Edition include: • New chapters on biomarker development and target clinical trials, adaptive design, trials for evaluating diagnostic devices, statistical methods for translational medicine, and traditional Chinese medicine • A balanced overview of current and emerging clinical issues as well as newly developed statistical methodologies • Practical examples of clinical trials that demonstrate everyday applicability, with illustrations and examples to explain key concepts • New sections on bridging studies and global trials, QT studies, multinational trials, comparative effectiveness trials, and the analysis of QT/QTc prolongation • A complete and balanced presentation of clinical and scientific issues, statistical concepts, and methodologies for bridging clinical and statistical disciplines • An update of each chapter that reflects changes in regulatory requirements for the drug review and approval process and recent developments in statistical design and methodology for clinical research and development Design and Analysis of Clinical Trials, Third Edition continues to be an ideal clinical research reference for academic, pharmaceutical, medical, and regulatory scientists/researchers, statisticians, and graduate-level students.

Design Execution And Management Of Medical Device Clinical Trials

Author : Salah M. Abdel-aleem
ISBN : 0470475900
Genre : Medical
File Size : 78. 45 MB
Format : PDF, ePub
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An essential introduction to conducting the various stages of medical device clinical trials Clinical research continues to be one of the most vital components of pharmaceutical, biostatistical, and medical studies. Design, Execution, and Management of Medical Device Clinical Trials provides a uniform methodology for conducting and managing clinical trials. Written in a style that is accessible to readers from diverse educational and professional backgrounds, this book provides an in-depth and broad overview for successfully performing clinical tasks and activities. Throughout the book, practical examples compiled from both the author's and other researchers' previous clinical trial experiences are discussed in a sequential manner as they occur in the study, starting from the development of the clinical protocol and the selection of clinical sites and ending with the completion of the final clinical study report. Next, readers are guided through the development of important clinical documents, including informed consent forms, case report forms, and study logs. A careful review of the Food and Drug Administration (FDA) and International Conference on Harmonisation (ICH) regulations applicable to medical devices is also featured. Additional coverage includes: Qualification and selection of investigators Study monitoring visits Definitions and reporting procedures for adverse events The use of biostatistical methodology in clinical research, including the use of biostatistics for sample size determination and study endpoints The roles and responsibilities of all members of a clinical research team The book concludes with an insightful discussion of special ethical conduct for human research and challenging issues to consider during the design of clinical studies. A glossary lists important clinical and statistical terms used in clinical research, and an extensive reference section provides additional resources for the most up-to-date literature on the topic. Design, Execution, and Management of Medical Device Clinical Trials is an excellent book for clinical research or epidemiology courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for clinical research associates, clinical managers, clinical scientists, biostatisticians, pharmacologists, and any professional working in the field of clinical research who would like to better understand clinical research practices.

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