An extension of the continual reassessment method using decision theory Journal Article


Authors: Leung, D. H. Y.; Wang, Y. G.
Article Title: An extension of the continual reassessment method using decision theory
Abstract: The primary goal of a phase I trial is to find the maximally tolerated dose (MTD) of a treatment. The MTD is usually defined in terms of a tolerable probability, q* of toxicity. Our objective is to find the highest dose with toxicity risk that does not exceed q*, a criterion that is often desired in designing phase I trials. This criterion differs from that of finding the dose with toxicity risk closest to q*, that is used in methods such as the continual reassessment method. We use the theory of decision processes to find optimal sequential designs that maximize the expected number of patients within the trial allocated to the highest dose with toxicity not exceeding q*, among the doses under consideration. The proposed method is very general in the sense that criteria other than the one considered here can be optimized and that optimal dose assignment can be defined in terms of patients within or outside the trial. It includes as an important special case the continual reassessment method. Numerical study indicates the strategy compares favourably with other phase I designs. Copyright © 2002 John Wiley & Sons, Ltd.
Keywords: drug tolerability; research design; drug megadose; methodology; risk assessment; probability; drug toxicity; maximum tolerated dose; phase 1 clinical trial; dose calculation; phase i trial; mathematical analysis; decision theory; continual reassessment method; numerical analysis, computer-assisted; clinical trials, phase i; dose finding; humans; article; up-and-down method
Journal Title: Statistics in Medicine
Volume: 21
Issue: 1
ISSN: 0277-6715
Publisher: John Wiley & Sons  
Date Published: 2002-01-15
Start Page: 51
End Page: 63
Language: English
DOI: 10.1002/sim.970
PUBMED: 11782050
PROVIDER: scopus
DOI/URL:
Notes: Export Date: 14 November 2014 -- Source: Scopus
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  1. Denis Heng Yan Leung
    114 Leung