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Biomonitoring Assay Method Bridge Gap Tool

Calculate biomonitoring assay method bridge gap from explicit caller-supplied inputs.

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Description

Compare two methods after supplied scaling.

Biomarker normalization changes the reporting basis, for example from sample volume to creatinine, lipid mass, moles or matrix quantity. The numerator, denominator and conversion factors must describe compatible quantities; normalization does not by itself establish exposure, toxicity or clinical meaning.

Compare two methods after supplied scaling.

When to use this tool

Use Biomonitoring Assay Method Bridge Gap when converting or comparing the stated analytical reporting basis.

How to use the tool and how it works

  1. Enter firstResult, secondResult, firstFactor, secondFactor, reference. 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 firstCoherent, secondCoherent, difference, relativeDifference. Use the output convention below.

Compare two methods after supplied scaling. Require both factors > 0 and reference != 0; difference = secondResult*secondFactor-firstResult*firstFactor, relativeDifference = difference/reference.1

Input fieldMeaning and unitsAccepted input
firstResultFirst ResultRequired. Finite number.
secondResultSecond ResultRequired. Finite number.
firstFactorFirst FactorRequired. Finite number; strictly above 0.
secondFactorSecond FactorRequired. Finite number; strictly above 0.
referenceReferenceRequired. Finite number.
Output fieldInterpretationReturned shape
firstCoherentFirst CoherentRequired. Finite number.
secondCoherentSecond CoherentRequired. Finite number.
differenceDifferenceRequired. Finite number.
relativeDifferenceRelative DifferenceRequired. Finite number.
json
{
  "input": {
    "firstResult": 10,
    "secondResult": 6,
    "firstFactor": 1,
    "secondFactor": 2,
    "reference": 10
  },
  "output": {
    "firstCoherent": 10,
    "secondCoherent": 12,
    "difference": 2,
    "relativeDifference": 0.2
  }
}

Limitations and assumptions

  • The reference may be signed; compatible analytical meaning and unit factors are supplied, without establishing method equivalence.
  • 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

Verify units, matrix identity, method calibration and the intended normalization model before making exposure or health inferences.

References

  1. Calculation and input contract: biomonitoring/biomonitoring-assay-method-bridge-gap — tool.io

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