Bootstrap aggregating continual reassessment method for dose finding in drug-combination trials
نویسندگان
چکیده
منابع مشابه
Bootstrap Aggregating Continual Reassessment Method for Dose Finding in Drug-combination Trials1 By
Phase I drug-combination trials are becoming commonplace in oncology. Most of the current dose-finding designs aim to quantify the toxicity probability space using certain prespecified yet complicated models. These models need to characterize not only each individual drug’s toxicity profile, but also their interaction effects, which often leads to multi-parameter models. We propose a novel Baye...
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The continual reassessment method (CRM) is a commonly used dose-finding design for phase I clinical trials. Practical applications of this method have been restricted by two limitations: (1) the requirement that the toxicity outcome needs to be observed shortly after the initiation of the treatment; and (2) the potential sensitivity to the prespecified toxicity probability at each dose. To over...
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During the last twenty years there have been considerable methodological developments in the design and analysis of Phase 1, Phase 2 and Phase 1/2 dose-finding studies. Many of these developments are related to the continual reassessment method (CRM), first introduced by O'Quigley, Pepe and Fisher (1990). CRM models have proven themselves to be of practical use and, in this discussion, we inves...
متن کاملBayesian Data Augmentation Dose Finding with Continual Reassessment Method and Delayed Toxicity.
A major practical impediment when implementing adaptive dose-finding designs is that the toxicity outcome used by the decision rules may not be observed shortly after the initiation of the treatment. To address this issue, we propose the data augmentation continual re-assessment method (DA-CRM) for dose finding. By naturally treating the unobserved toxicities as missing data, we show that such ...
متن کاملBayesian Data Augmentation Dose Finding with Continual Reassessment Method and Delayed Toxicities
A major practical impediment when implementing adaptive dose-finding designs is that the toxicity outcome used by the decision rules may not be observed shortly after the initiation of the treatment. To address this issue, we propose the data augmentation continual reassessment method (DA-CRM) for dose finding. By naturally treating the unobserved toxicities as missing data, we show that such m...
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ژورنال
عنوان ژورنال: The Annals of Applied Statistics
سال: 2016
ISSN: 1932-6157
DOI: 10.1214/16-aoas982