Categorical and Diagnostic Rates

Prevalence Calculator

Calculates the proportion of a population with an existing condition at a stated time. The worked condition keeps the inputs and convention visible for checking.

Diagnostic inputs

Set the labeled inputs

cases
people
Calculated result

Prevalence

Result
cases/population

    The scale of the output before comparing methods for prevalence

    Calculates the proportion of a population with an existing condition at a stated time. The named quantity is prevalence calculator. This is section 1 of the prevalence discussion.

    Save the inputs, formula convention, units, exclusions, and unrounded output with this result. This statement is conditional on the prevalence setup and section 1.

    For prevalence, 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.

    The reference quantity when the result is reused for prevalence

    Define the case criteria and population denominator before comparing prevalence. The named quantity is prevalence calculator. This is section 2 of the prevalence discussion.

    120 cases in a population of 1,000 give prevalence .12. This statement is conditional on the prevalence setup and section 2.

    For prevalence, 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.

    A compact route to the answer in the worked condition for prevalence

    Define the case criteria and population denominator before comparing prevalence. The named quantity is prevalence calculator. This is section 3 of the prevalence discussion.

    Save the inputs, formula convention, units, exclusions, and unrounded output with this result. This statement is conditional on the prevalence setup and section 3.

    For prevalence, 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.

    The boundary of the claim before reporting for prevalence

    Calculates the proportion of a population with an existing condition at a stated time. The named quantity is prevalence calculator. This is section 4 of the prevalence discussion.

    120 cases in a population of 1,000 give prevalence .12. This statement is conditional on the prevalence setup and section 4.

    For prevalence, 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.

    How to carry the result forward under the stated model for prevalence

    Define the case criteria and population denominator before comparing prevalence. The named quantity is prevalence calculator. This is section 5 of the prevalence discussion.

    Save the inputs, formula convention, units, exclusions, and unrounded output with this result. This statement is conditional on the prevalence setup and section 5.

    For prevalence, 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.

    The quantity this page defines when the sample changes for prevalence

    Define the case criteria and population denominator before comparing prevalence. The named quantity is prevalence calculator. This is section 6 of the prevalence discussion.

    120 cases in a population of 1,000 give prevalence .12. This statement is conditional on the prevalence setup and section 6.

    For prevalence, 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.

    Questions about this calculation

    Before drawing a conclusion, when should the calculation be repeated for prevalence?

    Keep the inputs, units, method, exclusions, and unrounded output together. The reported quantity here is prevalence calculator.

    For this result, can a boundary value be entered for prevalence?

    Keep the inputs, units, method, exclusions, and unrounded output together. The reported quantity here is prevalence calculator.