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关于圆分布生物标记物的最佳组合,以提高诊断准确度

Shiqi Dong1, Zhaohai Li1, Yuanzhang Li2

  • 1Department of Statistics, The George Washington University, Washington, DC 20052, USA.

Genes
|September 28, 2024
PubMed
概括

这项研究引入了一种改进的方法来结合诊断生物标志物,特别是当它们的数据分布不正常时. 新的圆概率比率方法提高了疾病预测和诊断的准确性.

关键词:
它们的AUC AUC.在ROC曲线上,ROC曲线生物标志物 生物标志物圆分布是一个圆分布.可能性比率组合.非参数的最大概率估计估计.

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