J-MEASURES FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT

被引：0

作者：

Noubary, Farzad ^{[1
,2
]}

Noubary, Reza ^{[3
]}

机构：

[1] Tufts Med Ctr, Inst Clin Res & Hlth Policy Studies, Boston, MA 02111 USA

[2] Tufts Univ, Tufts Clin & Translat Sci Inst, Boston, MA 02111 USA

[3] Bloomsburg Univ, Dept Math Comp Sci & Stat, Bloomsburg, PA USA

来源：

JP JOURNAL OF BIOSTATISTICS | 2014年 / 11卷 / 02期

关键词：

measure of agreement; geometric mean; J-divergent; Bland-Altman; information;

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：

A statistical method is proposed for assessing agreement between two clinical methods of measuring an unknown quantity. Its value is a function of the difference between measurements of the same sample by the two methods and their arithmetic and geometric means. The proposed method is motivated by the J-divergence rate and can be viewed as a measure of the distance between two distributions defined by measurements by the two methods. The paper concludes with a discussion regarding the simultaneous use of this and Bland-Altman methods.

引用

页码：135 / 141

页数：7

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