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检测提示药物代谢多态性的数据频率分布中的双峰性——直方图和概率单位图。

Testing for bimodality in frequency distributions of data suggesting polymorphisms of drug metabolism--histograms and probit plots.

作者信息

Jackson P R, Tucker G T, Woods H F

机构信息

University Department of Pharmacology and Therapeutics, Royal Hallamshire Hospital, Sheffield.

出版信息

Br J Clin Pharmacol. 1989 Dec;28(6):647-53. doi: 10.1111/j.1365-2125.1989.tb03557.x.

Abstract
  1. The shape of histograms used to illustrate density distributions of indices of polymorphic drug metabolism was shown to be sensitive to the position of the cell divisions. 2. Non-linearity of the probit plot was shown not to indicate bimodality of the original density distribution. Computer simulation was used to generate examples of unimodal density distributions with curvilinear probit plots. 3. Using the same technique probit plots for bimodal density distributions were constructed. Some were shown to differ less from the probit plots of certain unimodal distributions than did the original density distributions. 4. The position of the antimode was shown not to coincide with inflections seen in the probit plots. 5. A new method for determining the linearity of probit plots is suggested.
摘要
  1. 结果表明,用于说明多态性药物代谢指标密度分布的直方图形状对细胞分裂位置敏感。2. 已表明概率单位图的非线性并不表明原始密度分布的双峰性。使用计算机模拟生成具有曲线概率单位图的单峰密度分布示例。3. 使用相同技术构建双峰密度分布的概率单位图。结果显示,其中一些概率单位图与某些单峰分布的概率单位图的差异小于原始密度分布之间的差异。4. 结果表明,反众数的位置与概率单位图中的拐点不一致。5. 提出了一种确定概率单位图线性的新方法。

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