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A new sensitive graphical method for detecting deviations from the normal distribution of drug responses: the NTV plot.

机译:用于检测与药物反应的正态分布偏差的新的灵敏图形方法:NTV图。

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摘要

1. A new graphical method was developed for the detection of deviations from the normal distribution. The approach took advantage of the similarity of graphical features of a graded dose-response relationship and a cumulative normal distribution. 2. The behaviour of the new normal test variable (NTV) plot was evaluated, in comparison with that of the probit plot and probability density functions (the generalization of histograms), for various assumed distributions. These included skewed distributions and composites of normal distributions with a variety of separations, ratios of peak sizes and widths. 3. The NTV approach generally detected deviations from the normal distribution more sensitively than the probit plot. 4. The NTV and probit plots may be able to identify biomadality by complementary approaches. 5. The characteristics of the three graphical representations were illustrated by a simulated sample from a composite of normal distributions and by an example of sparteine metabolism in 142 Cuna Amerindians.
机译:1.开发了一种新的图形方法来检测与正态分布的偏差。该方法利用了渐变的剂量反应关系和累积正态分布的图形特征的相似性。 2.对于各种假定分布,与概率图和概率密度函数(直方图的一般化)相比,评估了新的正态测试变量(NTV)图的行为。这些包括偏态分布和正态分布的复合物,具有各种分离度,峰尺寸和宽度的比率。 3. NTV方法通常比概率图更敏感地检测到与正态分布的偏差。 4. NTV和概率图可以通过补充方法识别生物危害。 5.这三个图形表示的特征通过合成正态分布的模拟样本和142个库纳美洲印第安人中的斯巴丁氨酸代谢实例进行了说明。

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