Model-assisted Bayesian designs for dose finding and optimization : methods and applications
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書誌事項
Model-assisted Bayesian designs for dose finding and optimization : methods and applications
(Chapman & Hall/CRC biostatistics series)
C&Hall/CRC Press, 2023
First edition
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Content Type: text (rdacontent), Media Type: unmediated (rdamedia), Carrier Type: volume (rdacarrier)
Includes bibliographical references and index
Summary: "Bayesian adaptive designs provide a critical approach to improve the efficiency and success rate of drug development that has been embraced by the US Food and Drug Administration (FDA). This is particularly important for early phase trials as they forms the basis for the development and success of subsequent phase II and III trials. The objective of this book is to describes the state-of-the-art model-assisted designs to faciliate and accelerate the use of novel adaptive designs for early phase clinical trials. Model-assisted designs possess avant-garde features where superiority meets simplicity. Model-assisted designs enjoy exceptional performance comparable to more complicated model-based adaptive designs, yet their decision rules often can be pre-tabulated and included in the protocol-making implementation as simple as conventional algorithm-based designs. An example is the Bayesian optimal interval (BOIN) design, the first dose-finding design to receive the fit-for-purpose designation from the
収録内容
- Bayesian Statistics and Adaptive Designs
- Algorithm and Model-Based Dose Finding Designs
- Model-Assisted Dose Finding Designs
- Drug-Combination Trials
- Late-Onset Toxicity
- Incorporating Historical Data
- Multiple Toxicity Grades
- Finding Optimal Biological Dose
内容説明・目次
内容説明
目次
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