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了解诊断试验的特性——第2部分:似然比。

Understanding the properties of diagnostic tests - Part 2: Likelihood ratios.

作者信息

Ranganathan Priya, Aggarwal Rakesh

机构信息

Department of Anaesthesiology, Tata Memorial Centre, Mumbai, Maharashtra, India.

Department of Gastroenterology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.

出版信息

Perspect Clin Res. 2018 Apr-Jun;9(2):99-102. doi: 10.4103/picr.PICR_41_18.

DOI:10.4103/picr.PICR_41_18
PMID:29862204
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5950618/
Abstract

Diagnostic tests are used to identify subjects with and without disease. In a previous article in this series, we examined some attributes of diagnostic tests - sensitivity, specificity, and predictive values. In this second article, we look at likelihood ratios, which are useful for the interpretation of diagnostic test results in everyday clinical practice.

摘要

诊断测试用于识别患有疾病和未患疾病的受试者。在本系列的上一篇文章中,我们研究了诊断测试的一些属性——敏感性、特异性和预测值。在第二篇文章中,我们将探讨似然比,它在日常临床实践中对解释诊断测试结果很有用。

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本文引用的文献

1
Common pitfalls in statistical analysis: Understanding the properties of diagnostic tests - Part 1.统计分析中的常见陷阱:理解诊断试验的特性 - 第1部分。
Perspect Clin Res. 2018 Jan-Mar;9(1):40-43. doi: 10.4103/picr.PICR_170_17.
2
Diagnostic tests 4: likelihood ratios.诊断测试4:似然比。
BMJ. 2004 Jul 17;329(7458):168-9. doi: 10.1136/bmj.329.7458.168.
3
Simplifying likelihood ratios.简化似然比
J Gen Intern Med. 2002 Aug;17(8):646-9. doi: 10.1046/j.1525-1497.2002.10750.x.
4
Letter: Nomogram for Bayes's theorem.信件:贝叶斯定理的列线图。
N Engl J Med. 1975 Jul 31;293(5):257. doi: 10.1056/NEJM197507312930513.