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Bayesian Adaptive Designs for Innovative Clinical Trials and Precision Medicine
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by Yuan Ji
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Main description:

Features novel topics that provide different angles and fresh ideas. For example, mTPI is based on a different statistical framework than most current adaptive designs for phase I dose finding trials. The phase I-II seamless design is also fresh with few publications
Covers the adaptive subgroup discovery which is trendy, given the recent advance in genomics medicine. It is also highly important to improve the efficiency of the new types of biomarker trials aiming to identify subgroups that have high risks of disease progression or high probabilities of response
Discusses some recently debated issues that will stimulate more research and advancement in the adaptive designs. For example, the issue of borrowing strength in phase I dose-finding trials


Contents:

Introduction to Bayes. Phase I Dose-Finding Designs. Phase I Designs Based on Toxicity. Phase I/II Designs Based on Joint Efficacy/Toxicity. Adaptive Dose Insertion. Phase II Trial Designs. Optimal and Minimax Two-Stage Designs. Bayesian Adaptive Designs. Seamless Designs. Phase I-II Seamless Designs. Phase II-III Seamless Designs. Some Practical Considerations. Borrowing Strength in Phase I Trials. the Necessity of Phases. Adaptive Learning to Speed Up Phase III. Change of Models for Early Phase Designs.


PRODUCT DETAILS

ISBN-13: 9781482218060
Publisher: Elsevier (Apple Academic Press Inc.)
Publication date: June, 2030
Pages: 400
Weight: 652g
Availability: Not available (reason unspecified)
Subcategories: Epidemiology, General Issues

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