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Proportion Observation Denominator Type

Qualify an explicit proportion denominator type by source without selecting a statistical estimand.

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Description

Record the denominator-type convention of a proportion statistic.

Statistical summaries depend on weights, reference origins, denominator definitions and sign conventions. A squared deviation about an arbitrary origin is not automatically a variance, and a scale label does not studentize a residual. Keep the stated measurement and model conventions attached to a quantity before comparing or interpreting it.

Record the denominator-type convention of a proportion statistic.

When to use this tool

Use Proportion Observation Denominator Type when you already have statisticId, denominatorType, source and need to record the denominator-type convention of a proportion statistic.

How to use the tool and how it works

  1. Enter statisticId, denominatorType, source. 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 token. Use the output convention below.

Require nonempty statisticId, denominatorType and source; encode the ordered triple as JSON text.1

Input fieldMeaning and unitsAccepted input
statisticIdStatistic IdRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192.
denominatorTypeDenominator TypeRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192.
sourceSourceRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192.
Output fieldInterpretationReturned shape
tokenTokenRequired. Text; maximum UTF-16 length 8192.
json
{
  "input": {
    "statisticId": "S17",
    "denominatorType": "eligible records",
    "source": "Study A"
  },
  "output": {
    "token": "[\"S17\",\"eligible records\",\"Study A\"]"
  }
}

Limitations and assumptions

  • The denominator type is a label, not a measured denominator, valid sampling frame or computed proportion.
  • 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.

Alternative or Complementary methods

Calculate the full weighted statistic from all observations and its defined centering and normalization. Consult the original model or reporting method for studentization and effect-size conventions, keeping a supplied scale label separate from a computed statistical quantity.

References

  1. Calculation and input contract: statistics/proportion-observation-denominator-type — tool.io

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