Open AccessUnderstanding the properties of diagnostic tests – Part 2: Likelihood ratios
Author(s) -
Priya Ranganathan,
Rakesh Aggarwal
Publication year - 2018
Publication title -
perspectives in clinical research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.649
H-Index - 8
eISSN - 2229-5488
pISSN - 2229-3485
DOI - 10.4103/picr.picr_41_18
Subject(s) - diagnostic test , interpretation (philosophy) , diagnostic accuracy , test (biology) , likelihood ratios in diagnostic testing , medicine , sensitivity (control systems) , statistics , clinical practice , computer science , mathematics , family medicine , pediatrics , engineering , biology , paleontology , programming language , electronic engineering
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.