Negative Likelihood Ratio Calculator
Calculates the negative likelihood ratio for a diagnostic result. The form displays (1−sensitivity)/specificity beside negative likelihood ratio, using a worked condition that can be recalculated with the labeled inputs.
Set the labeled inputs
Negative Likelihood Ratio
Purpose of this negative likelihood ratio calculation
The negative likelihood ratio page calculates the negative likelihood ratio for a diagnostic result.
Negative Likelihood Ratio is limited to the statistical quantity named by the result panel. The negative likelihood ratio calculation does not silently add a population, time horizon, causal direction, or decision threshold that is absent from the fields.
How the inputs shape negative likelihood ratio
- True positives: For negative likelihood ratio, the worked value for true positives is 80 cases. Treat the true positives entry (80 cases) explicitly as a count, proportion, rate, estimate, or model parameter before comparing negative likelihood ratio conditions. The form enforces minimum 0.
- False negatives: For negative likelihood ratio, the worked value for false negatives is 20 cases. Treat the false negatives entry (20 cases) explicitly as a count, proportion, rate, estimate, or model parameter before comparing negative likelihood ratio conditions. The form enforces minimum 0.
- False positives: For negative likelihood ratio, the worked value for false positives is 10 cases. Treat the false positives entry (10 cases) explicitly as a count, proportion, rate, estimate, or model parameter before comparing negative likelihood ratio conditions. The form enforces minimum 0.
- True negatives: For negative likelihood ratio, the worked value for true negatives is 90 cases. Treat the true negatives entry (90 cases) explicitly as a count, proportion, rate, estimate, or model parameter before comparing negative likelihood ratio conditions. The form enforces minimum 0.
The entries used for negative likelihood ratio must refer to one coherent analysis condition. Combining incompatible populations, periods, or measurement definitions can produce valid negative likelihood ratio arithmetic for a nonexistent study.
How negative likelihood ratio is calculated
For negative likelihood ratio, match every symbol in the relationship to a labeled field before substituting numbers. Negative Likelihood Ratio is reported in the scale implied by the inputs and formula.
While checking negative likelihood ratio, inspect every denominator in (1−sensitivity)/specificity. For negative likelihood ratio, a zero or near-zero denominator can make negative likelihood ratio undefined or unstable.
Worked values for negative likelihood ratio
The default negative likelihood ratio condition is True positives = 80 cases, False negatives = 20 cases, False positives = 10 cases, True negatives = 90 cases.
Sensitivity .80 and specificity .90 give a negative likelihood ratio about .222.
The live calculator reports Negative likelihood ratio 0.22222222. Repeating one intermediate step from (1−sensitivity)/specificity provides a fixed negative likelihood ratio reference check for later code changes.
A nearby method may answer the next question: diagnostic odds ratio.
Limits on interpreting negative likelihood ratio
A small negative likelihood ratio provides stronger evidence against disease.
For negative likelihood ratio, diagnostic and risk measures are conditional on named denominators, reference definitions, population prevalence, and follow-up time.
Reading negative likelihood ratio in context
When interpreting negative likelihood ratio, keep the two-by-two counts or source risks with the result; a ratio alone can hide very different absolute event frequencies.
As a second check for negative likelihood ratio, reversing the numerator and denominator answers a different question, so retain the direction printed in (1−sensitivity)/specificity.
Rebuilding this negative likelihood ratio calculation later
Report negative likelihood ratio using (1−sensitivity)/specificity, followed by the entered values, units, exclusions, and analysis date. Name the negative likelihood ratio population or dataset boundary instead of leaving it implicit.
Keep the full calculator output with the record, including Negative likelihood ratio 0.22222222. A later negative likelihood ratio review can then distinguish a changed input from a different convention or software implementation.
Questions about negative likelihood ratio
What should be saved with negative likelihood ratio?
Save the entered values and units for true positives, false negatives, false positives, true negatives, along with the analysis date, exclusions, software or formula version, and the relationship (1−sensitivity)/specificity. That record is sufficient to rebuild this specific negative likelihood ratio calculation.
Does negative likelihood ratio establish a causal or population conclusion?
No. The displayed negative likelihood ratio value is conditional on the entered data and named method. The negative likelihood ratio design, measurement process, and assumptions determine what can be concluded beyond those values.
How should negative likelihood ratio be rounded?
Keep the unrounded negative likelihood ratio for subsequent arithmetic, then report only the precision supported by the source measurements and the decision context. Extra digits in negative likelihood ratio do not correct sampling or model error.
Which input deserves the closest boundary check?
For negative likelihood ratio, start with true negatives and then true positives. Confirm the negative likelihood ratio units and allowed domain because a valid-looking entry can still describe the wrong statistical setup.
Why could another program report a different negative likelihood ratio?
A different convention for rounding, tails, ties, interpolation, parameterization, or missing values can change negative likelihood ratio. Compare the printed negative likelihood ratio formula and its input definitions before treating either output as wrong.
What does negative likelihood ratio represent on this page?
It is the quantity produced by (1−sensitivity)/specificity from the displayed true positives, false negatives, false positives, true negatives. This page calculates the negative likelihood ratio for a diagnostic result.