Critical aspects of the Bayesian approach to phase I cancer trials
The Bayesian approach to finding the maximum‐tolerated dose in phase I cancer trials is discussed. The suggested approach relies on a realistic dose–toxicity model, allows one to include prior information, and supports clinical decision making by presenting within‐trial information in a transparent...
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Published in: | Statistics in medicine Vol. 27; no. 13; pp. 2420 - 2439 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
Chichester, UK
John Wiley & Sons, Ltd
15-06-2008
Wiley Subscription Services, Inc |
Subjects: | |
Online Access: | Get full text |
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Summary: | The Bayesian approach to finding the maximum‐tolerated dose in phase I cancer trials is discussed. The suggested approach relies on a realistic dose–toxicity model, allows one to include prior information, and supports clinical decision making by presenting within‐trial information in a transparent way. The modeling and decision‐making components are flexible enough to be extendable to more complex settings. Critical aspects are emphasized and a comparison with the continual reassessment method (CRM) is performed with data from an actual trial and a simulation study. The comparison revealed similar operating characteristics while avoiding some of the difficulties encountered in the actual trial when applying the CRM. Copyright © 2008 John Wiley & Sons, Ltd. |
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Bibliography: | istex:250BC50E6CDA9FED03C1F13A6D82565E95478E47 ark:/67375/WNG-P588Z3VV-G ArticleID:SIM3230 |
ISSN: | 0277-6715 1097-0258 |
DOI: | 10.1002/sim.3230 |