Literature DB >> 11782050

An extension of the continual reassessment method using decision theory.

Denis Heng-Yan Leung1, You-Gan Wang.   

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.

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Year:  2002        PMID: 11782050     DOI: 10.1002/sim.970

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  7 in total

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Journal:  J Am Stat Assoc       Date:  2011-09-01       Impact factor: 5.033

2.  Bayesian Dose Finding for Combined Drugs with Discrete and Continuous Doses.

Authors:  Lin Huo; Ying Yuan; Guosheng Yin
Journal:  Bayesian Anal       Date:  2012       Impact factor: 3.728

3.  A nonparametric Bayesian method for dose finding in drug combinations cancer trials.

Authors:  Zahra S Razaee; Galen Cook-Wiens; Mourad Tighiouart
Journal:  Stat Med       Date:  2022-01-25       Impact factor: 2.373

4.  BAYESIAN DATA AUGMENTATION DOSE FINDING WITH CONTINUAL REASSESSMENT METHOD AND DELAYED TOXICITY.

Authors:  Suyu Liu; Guosheng Yin; Ying Yuan
Journal:  Ann Appl Stat       Date:  2013-12-01       Impact factor: 2.083

5.  A placebo-controlled Bayesian dose finding design based on continuous reassessment method with application to stroke research.

Authors:  Chunyan Cai; Mohammad H Rahbar; Md Monir Hossain; Ying Yuan; Nicole R Gonzales
Journal:  Contemp Clin Trials Commun       Date:  2017-05-06

6.  A nonparametric Bayesian continual reassessment method in single-agent dose-finding studies.

Authors:  Niansheng Tang; Songjian Wang; Gen Ye
Journal:  BMC Med Res Methodol       Date:  2018-12-18       Impact factor: 4.615

7.  A comprehensive comparison of the continual reassessment method to the standard 3 + 3 dose escalation scheme in Phase I dose-finding studies.

Authors:  Alexia Iasonos; Andrew S Wilton; Elyn R Riedel; Venkatraman E Seshan; David R Spriggs
Journal:  Clin Trials       Date:  2008       Impact factor: 2.486

  7 in total

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