The likelihood ratio and its graphical representation

被引：24
|
作者：
Habibzadeh, Farrokh [1 ]
Habibzadeh, Parham [2 ,3 ]
机构：
[1] Petr Ind Hlth Org, R&D Headquarters, Shiraz, Iran
[2] Persian Bayangene Res & Training Ctr, Shiraz, Iran
[3] Shiraz Univ Med Sci, Student Res Comm, Shiraz, Iran
来源：
BIOCHEMIA MEDICA | 2019年 / 29卷 / 02期
关键词：
ROC curve; diagnostic tests; likelihood ratio; STATISTICS;
D O I：
10.11613/BM.2019.020101
中图分类号：
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号：
1001 ;
摘要：
Diagnostic tests are important clinical tools. Bayes' theorem and Bayesian approach are important methods for interpreting test results. The Bayesian factor, the so-called likelihood ratio, has not always been well-understood. In this article, we try to discuss the likelihood ratio and its value for a specific test result, a positive or negative test result, and a range of test results, along with their graphical representations.
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页码：193 / 199
页数：7
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