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.
References in periodicals archive ?
Our results indicated large negative likelihood ratio and negative predictive value estimates across sites.
PPV: positive predictive value; NPV: negative predictive value; LR+: positive likelihood ratio = sensitivity/(1--specificity); LR-: negative likelihood ratio = (1--sensitivity)/specificity.
Positive and negative likelihood ratio for the diagnosis of flat feet by foot
Variables Bacterial Non-bacterial sepsis sepsis Sample size 20 74 Mean value (mg/L) 30.94 7.46 95% Confidence interval 25.13 to 36.74 7.05 to 7.87 t value -5.598 Degree of Freedom 131.0 P value P = <0.001 Table 3: Sensitivity, Specificity, Diagnostic Accuracy, Positive Predictive Value (PPV), Negative Predictive Value (NPV), Positive Likelihood Ratio (PLR), Negative Likelihood Ratio (NLR) and Area Under the Curve (AUC) of CRP for the diagnosis of sepsis.
Our data suggested that IL-6 at a cut-off of 1305pg/mL correctly identifies the patients that will deliver within 14 days from admission, with a sensitivity of 69.4%, specificity of 68.2%, a positive likelihood ratio (LR+) of 2.18 and a negative likelihood ratio (LR-) of 0.45.
The researchers then compared positive and negative likelihood ratios of individual items in the IWG and NIA-AA criteria.
The sensitivity, specificity, positive and negative predictive values, positive and negative likelihood ratio, and accuracy for the optimal cutoff value were calculated.
Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (PLR), and negative likelihood ratio (NLR) were calculated in the usual format.
Sensitivity, specificity, positive and negative predictive values, positive and negative likelihood ratio and diagnostic accuracy were calculated according to the following formula (in which a = true-positive cases, b = false-positive cases, c = false-negative cases, and d = true-negative cases): sensitivity = a/(a + c), specificity = d/(b + d), diagnostic accuracy = (a +d)/(a + b + c + d), positive predictive value = a/(a + b), negative predictive value = d/(c + d), positive likelihood ratio = sensitivity/(1-specificity), negative likelihood ratio = (1-sensitivity)/specificity.
But its sensitivity (6.0%) and negative likelihood ratio (0.94) were lower than those considered clinically useful, according to Dr.
Positive likelihood ratio = sensitivity/(1--Specificity) or 1.33 and Negative likelihood ratio = (1--Sensitivity)/Specificity or .80.
NEGATIVE LIKELIHOOD RATIO: The ratio between the probability of rejecting an in- grammar utterance and the probability of rejecting an out-of-grammar utterance.