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Prevalence-Value-Accuracy Plots: A New Method for Comparing Diagnostic Tests Based on Misclassification Costs

机译：流行值 - 值 - 精度图：基于错误分类成本进行比较诊断测试的新方法

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Alan T Remaley; Maureen L Sampson; James M DeLeo; Nancy A Remaley; Beriuse D Farsi; Mark H Zweig;
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年度 1999
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1. Prevalence-Value-Accuracy Plots: A New Method for Comparing Diagnostic Tests Based on Misclassification Costs [J] . Alan T. Remaley, Beriuse D. Farsi, James M. DeLeo, Clinical Chemistry: Journal of the American Association for Clinical Chemists . 1999,第7期

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4. Diagnostics For All: Rapid, Paper-Based, Low-Cost Diagnostic Tests for Resource-Limited Settings [C] . Erin Coonahan, Sidhartha Jain, Matthew Stewart, Molecular Medicine TRI-CON. . 2014

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7. Figure 10: Outliers plots: (A) boxplot with the results of the best three methods (ENET, FSMKL and SVM-RFE) with and without the outliers. *, Statistically significant difference with a p-value < 2.2 × 10−16 according to a pairwise Wilcoxon test; **, Statistically significant difference according to a non-parametric Friedman test with Iman and Davenport correction with a p-value < 1.92 × 10−41. At the bottom of the panel, a median-based contrast estimation heatmap. In (B) the residues are plotted by coloring each of them according to the category to which the image belongs. [O] . -1

机译：图10：异常值绘图：（a）Boxplot与具有和没有异常值的最佳三种方法（ENET，FSMK1和SVM-RFE）的结果。 *，根据双氟硅酮试验，与p值<2.2×10-16的统计学上有显着差异; **，根据非参数弗里德曼测试的统计学意义差异，具有P值<1.92×10-41的IMAN和DAVENPORT校正。在面板的底部，基于中位的对比度估计热图。在（b）中，通过根据图像所属的类别着色，通过着色它们来绘制残留物。

Prevalence-Value-Accuracy Plots: A New Method for Comparing Diagnostic Tests Based on Misclassification Costs

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