Bayesian design of noninferiority trials for medical devices using historical data.

Bayesian design of noninferiority trials for medical devices using historical data.
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DOI:
10.1111/j.1541-0420.2011.01561.x
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发表时间:
2011-09
期刊:
影响因子:
1.9
通讯作者:
Zhang Y
Zhang Y
中科院分区:
数学3区
文献类型:
--
作者:
Chen MH;Ibrahim JG;Lam P;Yu A;Zhang Y

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本文提出了一种新的贝叶斯样本量确定方法(SSD),用于非劣效性临床试验设计。我们扩展了贝叶斯SSD的拟合和采样先验,重点是控制I型错误和功率。历史数据是通过分层建模方法以及功率先验方法。所提出的贝叶斯SSD方法的各种属性进行检查和基于模拟的计算算法的开发。将拟定方法应用于非劣效性医疗器械临床试验的设计,该临床试验使用了既往试验的历史数据。
We develop a new Bayesian approach of sample size determination (SSD) for the design of non-inferiority clinical trials. We extend the fitting and sampling priors of to Bayesian SSD with a focus on controlling the type I error and power. Historical data are incorporated via a hierarchical modeling approach as well as the power prior approach of. Various properties of the proposed Bayesian SSD methodology are examined and a simulation-based computational algorithm is developed. The proposed methodology is applied to the design of a non-inferiority medical device clinical trial with historical data from previous trials.
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