Sensitivity Calculator
Calculates sensitivity, the share of diseased cases detected by a test. The worked condition keeps the inputs and convention visible for checking.
Set the labeled inputs
Sensitivity
The quantity this page defines during an independent review for sensitivity
Calculates sensitivity, the share of diseased cases detected by a test. The named quantity is sensitivity calculator. This is section 1 of the sensitivity discussion.
Save the inputs, formula convention, units, exclusions, and unrounded output with this result. This statement is conditional on the sensitivity setup and section 1.
For sensitivity, preserve the source definition, the stated units, and the named convention beside the displayed number. A second analyst should be able to reconstruct the same result without guessing which population or setup was intended.
A direct numerical check at the chosen parameters for sensitivity
Sensitivity is conditional on disease status and does not answer how many positive results are true. The named quantity is sensitivity calculator. This is section 2 of the sensitivity discussion.
80 true positives and 20 false negatives give sensitivity .80. This statement is conditional on the sensitivity setup and section 2.
For sensitivity, preserve the denominator choice, the stated units, and the named convention beside the displayed number. A second analyst should be able to reconstruct the same result without guessing which population or setup was intended.
Interpreting the result before comparing methods for sensitivity
Sensitivity is conditional on disease status and does not answer how many positive results are true. The named quantity is sensitivity calculator. This is section 3 of the sensitivity discussion.
Save the inputs, formula convention, units, exclusions, and unrounded output with this result. This statement is conditional on the sensitivity setup and section 3.
For sensitivity, preserve the comparison group, the stated units, and the named convention beside the displayed number. A second analyst should be able to reconstruct the same result without guessing which population or setup was intended.
Keeping a reproducible record when the result is reused for sensitivity
Calculates sensitivity, the share of diseased cases detected by a test. The named quantity is sensitivity calculator. This is section 4 of the sensitivity discussion.
80 true positives and 20 false negatives give sensitivity .80. This statement is conditional on the sensitivity setup and section 4.
For sensitivity, preserve the time boundary, the stated units, and the named convention beside the displayed number. A second analyst should be able to reconstruct the same result without guessing which population or setup was intended.
The design boundary in the worked condition for sensitivity
Sensitivity is conditional on disease status and does not answer how many positive results are true. The named quantity is sensitivity calculator. This is section 5 of the sensitivity discussion.
Save the inputs, formula convention, units, exclusions, and unrounded output with this result. This statement is conditional on the sensitivity setup and section 5.
For sensitivity, preserve the design boundary, the stated units, and the named convention beside the displayed number. A second analyst should be able to reconstruct the same result without guessing which population or setup was intended.
A related calculation is specificity.
The scale of the output before reporting for sensitivity
Sensitivity is conditional on disease status and does not answer how many positive results are true. The named quantity is sensitivity calculator. This is section 6 of the sensitivity discussion.
80 true positives and 20 false negatives give sensitivity .80. This statement is conditional on the sensitivity setup and section 6.
For sensitivity, preserve the rounding rule, the stated units, and the named convention beside the displayed number. A second analyst should be able to reconstruct the same result without guessing which population or setup was intended.
The reference quantity under the stated model for sensitivity
Calculates sensitivity, the share of diseased cases detected by a test. The named quantity is sensitivity calculator. This is section 7 of the sensitivity discussion.
Save the inputs, formula convention, units, exclusions, and unrounded output with this result. This statement is conditional on the sensitivity setup and section 7.
For sensitivity, preserve the reference population, the stated units, and the named convention beside the displayed number. A second analyst should be able to reconstruct the same result without guessing which population or setup was intended.
A compact route to the answer when the sample changes for sensitivity
Sensitivity is conditional on disease status and does not answer how many positive results are true. The named quantity is sensitivity calculator. This is section 8 of the sensitivity discussion.
80 true positives and 20 false negatives give sensitivity .80. This statement is conditional on the sensitivity setup and section 8.
For sensitivity, preserve the interpretation limit, the stated units, and the named convention beside the displayed number. A second analyst should be able to reconstruct the same result without guessing which population or setup was intended.
Questions about this calculation
Under the stated model, what belongs in the saved record for sensitivity?
Keep the inputs, units, method, exclusions, and unrounded output together. The reported quantity here is sensitivity calculator.
Before drawing a conclusion, what should be checked before reusing this result for sensitivity?
Keep the inputs, units, method, exclusions, and unrounded output together. The reported quantity here is sensitivity calculator.