Clinical trial design : Bayesian and frequentist adaptive methods

Author(s)

• Yin, Guosheng

Bibliographic Information

Clinical trial design : Bayesian and frequentist adaptive methods

Guosheng Yin

（Wiley series in probability and mathematical statistics）

Wiley, c2012

• : cloth

Note

Includes bibliographical references (p. 311-327) and indexes

Description and Table of Contents

Description

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.

Table of Contents

Preface xv 1. Introduction 1 2. Fundamentals of Clinical Trials 13 3. Frequentist versus Bayesian Statistics 29 4. Phase I Trial Design 77 5. Phase II Trial Design 115 6. Phase III Trial Design 159 7. Adaptive Randomization 223 8. Late-Onset Toxicity 253 9. Drug-Combination Trials 271 10. Targeted Therapy Design 297 References 311 Author Index 329 Subject Index 333

by "Nielsen BookData"

• NCID: BB08226926
• ISBN:
  • 9780470581711
• LCCN: 2011033589
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Hoboken, N.J.
• Pages/Volumes: xvii, 336 p.
• Size: 25 cm
• Classification:
  • DC23 : 610.724
  • NLM : QV 771
• Subject Headings:
  • LCSH : Clinical trials -- Design -- Statistical methods
  • LCSH : Bayesian statistical decision theory
  • MESH : Clinical Trials as Topic -- methods
  • MESH : Bayes Theorem
  • MESH : Statistics as Topic -- methods
• Parent Bibliography ID:
  • BA00019013