论文标题
接收器操作特征曲线的弹性家族
Resilience family of receiver operating characteristic curves
论文作者
论文摘要
提出了基于弹性家族或比例反向危险家族的ROC曲线的新的半参数模型，这是现有模型的替代品。所得的ROC曲线及其摘要指数（例如曲线下的区域（AUC）和Youden指数）具有简单的分析形式。采用部分可能性方法来估计ROC曲线。此外，基于利用Mann-Whitney统计数据和ROJO方法的AUC估计器开发了ROC曲线的弹性家族的估计方法。已经进行了一项模拟研究，以评估所有考虑的估计量的性能。根据提议的模型和文献中普遍存在的通常的二手型模型，对美国国家健康和营养检查调查（NHANES）的真实数据进行了详细分析。还分析了与脑损伤相关的生物标志物的真实数据，以将我们的模型与ROC曲线的Lehmann家族进行比较。最后，我们表明，提出的模型可能适用于通过公国肌肉营养不良数据的错误指定方案。
A new semiparametric model of the ROC curve based on the resilience family or proportional reversed hazard family is proposed which is an alternative to the existing models. The resulting ROC curve and its summary indices (such as area under the curve (AUC) and Youden index) have simple analytic forms. The partial likelihood method is applied to estimate the ROC curve. Moreover, the estimation methodologies of the resilience family of the ROC curve have been developed based on AUC estimators exploiting Mann-Whitney statistics and the Rojo approach. A simulation study has been carried out to assess the performance of all considered estimators. Real data from the American National Health and Nutrition Examination Survey (NHANES) has been analysed in detail based on the proposed model and the usual binormal model prevalent in the literature. Real data in the context of brain injury-related biomarkers is also analysed in order to compare our model with the Lehmann family of the ROC curves. Finally, we show that the proposed model may be applicable in the misspecification scenario through a Ducheme muscular dystrophy data.
