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Adaptive design improvements in the continual reassessment method for phase I studies

โœ Scribed by Julie M. Heyd; Bradley P. Carlin


Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
126 KB
Volume
18
Category
Article
ISSN
0277-6715

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โœฆ Synopsis


The continual reassessment method (CRM) enables full and e$cient use of all data and prior information available in a phase I study. However, despite a number of recent enhancements to the method, its acceptance in actual clinical practice has been hampered by several practical di$culties. In this paper, we consider several further re"nements in the context of phase I oncology trials. In particular, we allow the trial to stop when the width of the posterior 95 per cent probability interval for the maximum tolerated dose (MTD) becomes su$ciently narrow (that is, when the information accumulating from the trial data reaches a prespeci"ed level). We employ a simulation study to evaluate "ve such stopping rules under three alternative states of prior knowledge regarding the MTD (accurate, too low and too high). Our results suggest our adaptive designs preserve the CRM's estimation ability while o!ering the possibility of earlier stopping of the trial.


๐Ÿ“œ SIMILAR VOLUMES


Continual reassessment methods in phase
โœ Andrew Kramar; Anne Lebecq; Emmanuel Candalh ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 153 KB ๐Ÿ‘ 1 views

Most phase I trials in oncology use standard methods for treating successive groups of patients with increasing doses in order to determine the maximum tolerated dose (MTD). These methods have been criticized because they treat many patients at suboptimal dose levels, and do not provide an accurate