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A system for determining maximum tolerated dose in clinical trial
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作者 Keying Ye Xiaobin Yang +1 位作者 Ying Ji Min Wang 《Statistical Theory and Related Fields》 2021年第4期288-302,共15页
Toxicity study,especially in determining the maximum tolerated dose(MTD)in phase I clinical trial,is an important step in developing new life-saving drugs.In practice,toxicity levels may be categorised as binary grade... Toxicity study,especially in determining the maximum tolerated dose(MTD)in phase I clinical trial,is an important step in developing new life-saving drugs.In practice,toxicity levels may be categorised as binary grades,multiple grades,or in a more generalised case,continuous grades.In this study,we propose an overall MTD framework that includes all the aforementioned cases for a single toxicity outcome(response).The mechanism of determining MTD involves a function that is predetermined by user.Analytic properties of such a system are investigated and simu-lation studies are performed for various scenarios.The concept of the continual reassessment method(CRM)is also implied in the framework and Bayesian analysis,including Markov chain Monte Carlo(MCMC)methods are used in estimating the model parameters. 展开更多
关键词 Bayesian methods continual reassessment method(CRM) drug dose finding Markov chain Monte Carlo(MCMC)method maximum tolerated dose(MTD) phase I clinical trial toxicity responses
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