MULTIPLE-DRUG EFFECT ANALYSIS WITH CONFIDENCE-INTERVAL
MULTIPLE-DRUG EFFECT ANALYSIS WITH CONFIDENCE-INTERVAL
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DOI：
10.1016/0166-3542(94)90089-2
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发表时间：
1994-09-01
影响因子：
7.6
通讯作者：
SCHINAZI, RF
中科院分区：
文献类型：
--
作者：
BELENKII, MS;SCHINAZI, RF
用于确定药物组合的拮抗作用、协同作用或相加作用的数学模型的开发在医学研究和医学中变得越来越重要。本文介绍了改进的Chou和Talalay的方法，它提供了第一次置信区间的组合指数。用蒙特卡罗方法计算了置信区间，并得到了修正的相互作用诊断所需的新参数。这种新方法可以适用于目前以及未来的公式用于评估药物组合。用Microsoft和Visual Basic编写的程序被开发用于我们称为Combostat（R）的普通个人计算机上。
The development of mathematical models for determining antagonism, synergy or additivism for drug combinations is becoming increasingly important in medical research and medicine. This paper describes improvements in the Chou and Talalay method which provides for the first time confidence intervals for the combination index. The Monte Carlo technique was used to calculate the confidence intervals and to obtain the new parameters which are needed for the modified interaction diagnosis. This new method can be adapted to current as well as future formulae used to evaluate drug combinations. Programs written in Microsoft and Visual Basic were developed for use on commonly available personal computers which we call Combostat(R).