Negative likelihood ratio
Negative likelihood ratio
The Negative likelihood ratio (NLR) is a statistical parameter used in diagnostic testing. It is the ratio of the probability of a negative test result given the presence of the disease, to the probability of a negative test result given the absence of the disease. The NLR is used to assess the performance of a diagnostic test.
Definition[edit | edit source]
The negative likelihood ratio is defined as:
- NLR = (1 - Sensitivity) / Specificity
where:
- Sensitivity is the proportion of true positive results (i.e., the proportion of those with the disease who test positive), and
- Specificity is the proportion of true negative results (i.e., the proportion of those without the disease who test negative).
Interpretation[edit | edit source]
The NLR helps to determine the decrease in probability of disease after a negative test result. A lower NLR is indicative of a more useful test. An NLR of 1 means that the probability of the disease is not altered by the test result. An NLR less than 1 indicates that the test result is associated with a decrease in the probability of disease. An NLR greater than 1 indicates that the test result is associated with an increase in the probability of disease.
See also[edit | edit source]
References[edit | edit source]
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