Follow-Up Mailing Response Rate Estimate
Conditional initial response plus remaining non respondent fraction×independently established conditional follow up response, no count double claim or guaranteed mail efficacy. Actual independently qualified instrument/cohort/matching units; no diagnosis, causal outcome, validated personal prediction or universal clinical cutoff.
Description
Follow-up response expectations apply to the remaining nonrespondents.
Follow-up response expectations apply to the remaining nonrespondents.1
Adding a conditional follow-up fraction to the initial response fraction avoids counting initial responders twice. The calculation and input requirements are explained below.
When to use Follow-Up Mailing Response Rate Estimate
Enter initial and conditional follow-up response fractions from 0 to 1.
How to use Follow-Up Mailing Response Rate Estimate and how it works
- Prepare the measurements or independently established model inputs described below, with matching units and observation scope.
- Enter the required fields and run Follow-Up Mailing Response Rate Estimate.
- Read the result fields using the formula, output units, signs and ordering explained below.
- Correct any rejected inputs and rerun; interpret the result within the stated model and its assumptions.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| actualInitialResponseFraction | Actual Initial Response Fraction. Use the units and matching context stated in the calculation below. | number | Required; fraction from 0 to 1; finite; other constraints below |
| callerConditionalFollowUpResponseFraction | Caller Conditional Follow Up Response Fraction. Use the units and matching context stated in the calculation below. | number | Required; fraction from 0 to 1; finite; other constraints below |
Enter initial and conditional follow-up response fractions from 0 to 1. Return initial plus the remaining nonrespondent fraction times follow-up. A follow-up fraction of one gives total one.
expectedResponse=initial+(1-initial)*conditionalFollowUp Apply the input ordering, units and branch conditions stated above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Object containing the calculated or selected fields below. | object |
| result.value | Numeric result under the formula and output units explained above. | number |
{
"input": {
"actualInitialResponseFraction": 0.5,
"callerConditionalFollowUpResponseFraction": 0.5
},
"output": {
"result": {
"value": 0.75
}
}
}Limitations and assumptions
The calculation uses the supplied observations and model inputs. It does not collect measurements, select a reference population or coefficient, or establish that the model applies to the actual case. The stated branch conditions and output units remain part of the result.
All fields require explicit values. Unexpected fields, wrong types, nonfinite numbers and sparse arrays are rejected. Alignment, bounds and supported-token rules are explained above; extremely large inputs or nonfinite results can also fail. Input errors differ from successful false comparisons, unavailable-domain flags and empty match lists.
Alternative or Complementary methods
Use Attrition-Adjusted Final N Calculator for a complementary operation: Expected final sample size reduces enrollment by a proposed attrition fraction.
Use Independent t-Test Power .80 Sample Size for a complementary operation: Two-group power planning requires a proposed effect and significance level.
References
-
Follow-Up Mailing Response Rate Estimate — tool.io
Similar or alternative tools
- Attrition-Adjusted Final N Calculator
Expected final sample size reduces enrollment by a proposed attrition fraction.
- Independent t-Test Power .80 Sample Size
Two-group power planning requires a proposed effect and significance level.