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Effect Scale Direction Factor Tool

Apply one explicitly declared increasing/decreasing assay scale multiplier; no clinical benefit interpretation.

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Description

Apply one explicitly declared increasing/decreasing assay scale multiplier; no clinical benefit interpretation.

A pharmacodynamic model relates an exposure or occupancy measure to a response under explicitly supplied parameters. Baseline, maximum increment, half-maximal concentration, effect direction, and observation windows have distinct meanings. Evaluating one model term does not fit the curve or establish its clinical validity.

Apply one explicitly declared increasing/decreasing assay scale multiplier; no clinical benefit interpretation.

When to use this tool

Use Effect Scale Direction Factor when you need this particular response-model term, scale conversion, panel duration, or support calculation.

How to use the tool and how it works

  1. Enter effectValue, suppliedOrigin, increasingIsPositive, suppliedUnitFactor. 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 directedEffect, multiplier. Use the output convention below.

For positive suppliedUnitFactor subtract suppliedOrigin from effectValue and multiply by the factor and a direction sign selected by increasingIsPositive. Return directedEffect and the signed multiplier.1

Input fieldMeaning and unitsAccepted input
effectValueEffect ValueRequired. Finite number.
suppliedOriginSupplied OriginRequired. Finite number.
increasingIsPositiveIncreasing Is PositiveRequired. Boolean.
suppliedUnitFactorSupplied Unit FactorRequired. Finite number; strictly above 0.
Output fieldInterpretationReturned shape
directedEffectDirected EffectRequired. Finite number.
multiplierMultiplierRequired. Finite number.
json
{
  "input": {
    "effectValue": 8,
    "suppliedOrigin": 5,
    "increasingIsPositive": false,
    "suppliedUnitFactor": 2
  },
  "output": {
    "directedEffect": -6,
    "multiplier": -2
  }
}

Limitations and assumptions

  • The origin uses source units and the factor maps the difference into target units. The direction flag is a reporting convention rather than evidence that an increase or reduction is beneficial.
  • 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. Signed zero is exported as zero.

Alternative or Complementary methods

Use a fitted and validated response model when a supplied local term is insufficient. Check exposure units, response direction, baseline, model assumptions, and observation support before comparing effects.

References

  1. Calculation and input contract: pharmacodynamics/effect-scale-direction-factor — tool.io

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