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Clinical Research Missing Outcome Bound Tool

Calculate clinical research missing outcome bound from explicit caller-supplied inputs.

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Description

Bound an overall mean under supplied missing-outcome limits.

Missing outcomes can leave a mean only partly identified. If every unknown outcome is confined to a defensible range, placing all unknown values at its lower or upper endpoint gives deterministic worst-case limits; this range is different from sampling uncertainty.

Bound an overall mean under supplied missing-outcome limits.

When to use this tool

Use Clinical Research Missing Outcome Bound when checking the stated clinical-research record, allocation, timing, analysis or evidence-basis convention.

How to use the tool and how it works

  1. Enter observedSum, observedCount, missingCount, minimum, maximum. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read lowerMean, upperMean, width. Use the output convention below.

Bound an overall mean under supplied missing-outcome limits. Require nonnegative whole counts with positive total, maximum >= minimum and observedSum within observedCount times those bounds; lower/upper means substitute each missing value with minimum/maximum, width = missing*(max-min)/total.1

An estimand specifies the treatment-effect question, including intercurrent-event handling. Denominator choices and missing-data assumptions must align with that question.2

Input fieldMeaning and unitsAccepted input
observedSumObserved SumRequired. Finite number.
observedCountObserved CountRequired. Safe integer; minimum 0.
missingCountMissing CountRequired. Safe integer; minimum 0.
minimumMinimumRequired. Finite number.
maximumMaximumRequired. Finite number.
Output fieldInterpretationReturned shape
lowerMeanWorst-case mean with every missing outcome at the supplied minimum.Required. Finite number.
upperMeanWorst-case mean with every missing outcome at the supplied maximum.Required. Finite number.
widthmissingCount*(maximum-minimum)/(observedCount+missingCount); not a confidence-interval width.Required. Finite number.
json
{
  "input": {
    "observedSum": 30,
    "observedCount": 10,
    "missingCount": 2,
    "minimum": 0,
    "maximum": 10
  },
  "output": {
    "lowerMean": 2.5,
    "upperMean": 4.166666666666667,
    "width": 1.6666666666666667
  }
}

Limitations and assumptions

  • Bounds are deterministic worst-case limits, not confidence intervals or a justified imputation model; outcome bounds must be defensible.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.

Alternative or Complementary methods

Use the complete approved protocol, authenticated source records and qualified clinical/statistical oversight for actual trial design, conduct and interpretation.

References

  1. Calculation and input contract: clinical-research/clinical-research-missing-outcome-bound — tool.io

  2. ICH E9(R1): estimands and sensitivity analysis — ICH

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