Powerful nonparametric statistics to compare k independent ROC curves
Powerful nonparametric statistics to compare k independent ROC curves
复制标题
强大的非参数统计来比较 k 个独立的 ROC 曲线
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
N. Corral
中科院分区：
文献类型：
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作者：
P. Martínez;C. Carleos;N. Corral
作者处理的问题比较受试者工作特征（ROC）曲线从独立的样本。从非参数方法，他们提出并研究了三种不同的统计量。得到了它们的渐近分布，并考虑了重采样方案。为了研究引入的统计量的统计功效，进行了模拟研究。的（观察到的）结果表明，对于所考虑的模型，新的统计比通常采用的（Venkatterfly测试和通常的ROC曲线下的面积标准）在非均匀的优势情况下，否则相当不错的更强大。
The authors deal with the problem of comparing receiver operating characteristic (ROC) curves from independent samples. From a nonparametric approach, they propose and study three different statistics. Their asymptotic distributions are obtained and a resample plan is considered. In order to study the statistical power of the introduced statistics, a simulation study is carried out. The (observed) results suggest that, for the considered models, the new statistics are more powerful than the usually employed ones (the Venkatraman test and the usual area under the ROC curve criterion) in non-uniform dominance situations and quite good otherwise.