Bayesian Interval Estimation for Predictive Values from Case-Control Studies

被引：2
作者：
Stamey, James D. [1 ]
Holt, Melinda M. [2 ]
机构：
[1] Baylor Univ, Dept Stat Sci, Waco, TX 76798 USA
[2] Sam Houston State Univ, Dept Math & Stat, Huntsville, TX 77340 USA
来源：
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2010年 / 39卷 / 01期
关键词：
Case control; Interval estimation; Misclassification; CONFIDENCE-INTERVALS; PREVALENCE; DISEASE; ACCURACY;
D O I：
10.1080/03610910903312219
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：
Positive predictive and negative predictive values (PPV and NPV) are often used to assess the accuracy of binary diagnostic tests. Unlike sensitivity and specificity, PPV and NPV are functions of the accuracy of the test and the overall prevalence of the disease in the population. In many studies of performance of estimators of PPV and NPV the population prevalence is assumed known. We allow for uncertainty in the estimate of the population prevalence and via simulation explore the impact of deviations from the assumed value.
引用
收藏
页码：101 / 110
页数：10
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