Understanding the properties of diagnostic tests – Part 2: Likelihood ratios
Priya Ranganathan, Rakesh Aggarwal
Perspectives in Clinical Research · 2018
doi:10.4103/picr.picr_41_18 (opens in a new tab)
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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.
Abstract licence: CC BY-NC-SA
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