
Bayesian Adaptive Methods for Clinical Trials
by Scott M. Berry; Bradley P. Carlin; J. Jack Lee; Peter Muller-
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Summary
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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