Bayesian Adaptive Methods for Clinical Trials

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Format: Nonspecific Binding
Pub. Date: 2010-07-19
Publisher(s): Taylor & Francis
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Summary

Driven by modern computing capabilities, there has been a rapid increase of interest in Bayesian methods for the analysis of clinical trial data. This book provides an introduction to Bayesian adaptive methods for the design and analysis of clinical trials. It presents background material on Bayesian inference and covers clinical trials in Phases I, II, and III. The methods are illustrated with many detailed examples and case studies using real data obtained by the authors in their extensive work. The examples are implemented using R and WinBUGS software, which is made available on a supporting website.

Table of Contents

Statistical Approaches for Clinical Trials
Introduction
Comparisons between Bayesian and frequentist approaches
Adaptivity in clinical trials
Features and use of the Bayesian adaptive approach
Basics of Bayesian Inference
Introduction to Bayes' theorem
Bayesian inference
Bayesian computation
Hierarchical modeling and metaanalysis
Principles of Bayesian clinical trial design
Appendix: R Macros
Phase I Studies
Rule-based designs for determining the MTD
Model-based designs for determining the MTD
Efficacy versus toxicity
Combination therapy
Appendix: R Macros
Phase II Studies
Standard designs
Predictive probability
Sequential stopping
Adaptive randomization and dose allocation
Dose ranging and optimal biologic dosing
Hierarchical models for Phase II designs
Decision theoretic designs
Case studies: BATTLE and ISPY-2
Appendix: R Macros
Phase III Studies
Introduction to confirmatory studies
Bayesian adaptive confirmatory trials
Arm dropping
Modeling and prediction
Prior distributions and the paradigm clash
Phase III cancer trials
Phase II/III seamless trials
Case study: Ablation device to treat atrial fibrillation
Appendix: R Macros
Special Topics
Incorporating historical data
Equivalence studies
Multiplicity
Subgroup analysis
Appendix: R Macros
References
Author Index
Subject Index
Table of Contents provided by Publisher. All Rights Reserved.

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