negative likelihood ratio


Also found in: Acronyms.

negative likelihood ratio

The number of times more likely that a negative test comes from an individual with the disease rather than from an individual without the disease; it is given by the formula: NLR = (1 – Sensitivity) / Specificity.
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Eight other evaluations of diagnostic accuracy produced a positive likelihood ratio above 10 or a negative likelihood ratio less than 0.
The only impingement test to produce a positive likelihood ratio above 10 or a negative likelihood ratio below 0.
Two evaluations of the drop-arm test for supraspinatus pathology (active shoulder abduction to 90 degrees, then return--dropping the arm down with pain indicates a positive test) produced a positive likelihood ratio above 10 or a negative likelihood ratio below 0.
Kim et al (2005) reported a negative likelihood ratio of 0.
The positive likelihood ratio above 10 and the negative likelihood ratio below 0.
Analogous to the positive likelihood ratio, the negative likelihood ratio can be used to calculate a specific patient's probability of having a disease (e.
Test Result Yes No Positive True positive False positive (TP) (FP) Negative False negative True negative (FN) (TN) Characteristics of Screening Tests Sensitivity* = TP / TP + FN Specificity* = TN / FP + TN Overall accuracy = (TP + TN) / (TP + FP + FN + TN) Positive predictive value = TP / TP + FP Negative predictive value = TN / TN + FN Positive likelihood ratio = sensitivity / (1-specificity) Negative likelihood ratio = (1-sensitivity) / specificity Figure 1 Definitions of terms used to describe characteristics of screening tests.
It can be determined using several measures, including the positive and negative predictive values and the positive and negative likelihood ratios.
Positive and negative likelihood ratios were determined by the "score" method as recommended by Altman et al.
3] Nonstandard abbreviations: LR(+) and LR(-), positive and negative likelihood ratios, respectively; DOR, diagnostic odds ratio; 95 ~ CI, 95 confidence interval.
The corresponding negative likelihood ratios are 1.