Evaluation of Area under the Constant Shape Bi-Weibull ROC Curve

被引：0

作者：

Pundir, Sudesh ^{[1
]}

Amala, R. ^{[2
]}

机构：

[1] Pondicherry Univ, Dept Stat, Pondicherry, India

[2] Pondicherry Univ, Appl Stat, Pondicherry, India

来源：

JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2014年 / 13卷 / 01期

关键词：

Constant shape Bi-Weibull ROC model; area under the ROC curve; asymptotic variance of accuracy; confidence interval; parametric bootstrap variance;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The Receiver Operating Characteristic (ROC) curve generated based on assuming a constant shape Bi-Weibull distribution is studied. In the context of ROC curve analysis, it is assumed that biomarker values from controls and cases follow some specific distribution and the accuracy is evaluated by using the ROC model developed from that specified distribution. This article assumes that the biomarker values from the two groups follow Weibull distributions with equal shape parameter and different scale parameters. The ROC model, area under the ROC curve (AUC), asymptotic and bootstrap confidence intervals for the AUC are derived. Theoretical results are validated by simulation studies.

引用

页码：305 / 328

页数：24

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