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PD Baseline Normalized Effect Fraction Tool

Calculate pd baseline normalized effect fraction from explicit caller-supplied inputs.

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Description

Normalize a supplied response between baseline and maximum, retaining values outside the reference interval.

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.

Normalize a supplied response between baseline and maximum, retaining values outside the reference interval.

When to use this tool

Use PD Baseline Normalized Effect Fraction 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 observed, baseline, 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 change, fraction, remainingFraction. Use the output convention below.

Require maximum!=baseline and return change=observed-baseline, fraction=change/(maximum-baseline), and remainingFraction=(maximum-observed)/(maximum-baseline).1

Input fieldMeaning and unitsAccepted input
observedObservedRequired. Finite number.
baselineSupplied response level at the model's zero-effect baseline.Required. Finite number.
maximumMaximumRequired. Finite number.
Output fieldInterpretationReturned shape
changeChangeRequired. Finite number.
fractionDimensionless fraction under the stated basis.Required. Finite number.
remainingFractionRemaining FractionRequired. Finite number.
json
{
  "input": {
    "observed": 6,
    "baseline": 2,
    "maximum": 10
  },
  "output": {
    "change": 4,
    "fraction": 0.5,
    "remainingFraction": 0.5
  }
}

Limitations and assumptions

  • Maximum can be below baseline and observed can lie outside their interval, so fractions outside [0,1] are retained. This is an affine normalization, not validation of a biological maximum or clinical effect.
  • 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/pd-baseline-normalized-effect-fraction — tool.io

Similar or alternative tools

  • PD Effect Baseline Sign Reference

    Orient supplied research effect changes under an explicit sign convention without efficacy interpretation.

  • Nonclinical Effect Baseline Gap

    Return baselineChange=observedEffect-baselineEffect, controlAdjustedChange=baselineChange-controlEffect, and residual=controlAdjustedChange-referenceChange.