How it works
True-positive rate is divided by false-positive rate to obtain the positive classification likelihood multiplier. This form solves for positive likelihood multiplier; enter the known quantities in True-positive rate, True-negative rate.
Inputs and units
| Input | Example value | What to enter |
|---|---|---|
| True-positive rate | 80 % | Formula symbol: sensitivity. Enter the percentage as a number: for 15%, enter 15. Must be greater than zero. Allowed range: 0.000001–100. |
| True-negative rate | 80 % | Formula symbol: specificity. Enter the percentage as a number: for 15%, enter 15. Use a non-negative value. Allowed range: 0–99.999999. |
Worked example
Show example inputs and results
This example is generated by the same calculation engine using the starting values in the form. Your own inputs produce your own result.
- True-positive rate
- 80 %
- True-negative rate
- 80 %
Complete example results
- Positive likelihood multiplier
- 4 x
Reading the result
The result solves for positive likelihood multiplier from the entered quantities. Check the result unit and the formula conditions before using it.
Questions and answers
Can I use the example values for my own calculation?
The example values illustrate the calculation. Replace every input with your own information, especially dates, rates and the selected operation.
When can I use the positive likelihood multiplier result?
Rates need the same class and data definition and a positive false-positive rate. Sampling uncertainty and suitability for new data are not calculated.
Why are some results rounded?
Results display up to 8 decimal places. Calculations use the unrounded values; very small values use scientific notation. JavaScript floating-point arithmetic can introduce tiny rounding differences.
Are my inputs sent to a server?
The calculator processes inputs in your browser. Its code does not send your values to a server.
Method sources: ncbi.nlm.nih.gov