Description
Return baselineChange=observedEffect-baselineEffect, controlAdjustedChange=baselineChange-controlEffect, and residual=controlAdjustedChange-referenceChange.
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.
Return baselineChange=observedEffect-baselineEffect, controlAdjustedChange=baselineChange-controlEffect, and residual=controlAdjustedChange-referenceChange.
When to use this tool
Use Nonclinical Effect Baseline Gap when you need this particular response-model term, scale conversion, panel duration, or support calculation.
How to use the tool and how it works
- Enter observedEffect, baselineEffect, controlEffect, referenceChange. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read baselineChange, controlAdjustedChange, residual. Use the output convention below.
Return baselineChange=observedEffect-baselineEffect, controlAdjustedChange=baselineChange-controlEffect, and residual=controlAdjustedChange-referenceChange.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| observedEffect | Observed Effect | Required. Finite number. |
| baselineEffect | Baseline Effect | Required. Finite number. |
| controlEffect | Control change to subtract from the baseline-adjusted effect. | Required. Finite number. |
| referenceChange | Reference Change | Required. Finite number. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| baselineChange | Baseline Change | Required. Finite number. |
| controlAdjustedChange | Control Adjusted Change | Required. Finite number. |
| residual | Signed recorded/observed-minus-implied discrepancy under the stated formula. | Required. Finite number. |
{
"input": {
"observedEffect": 10,
"baselineEffect": 2,
"controlEffect": 3,
"referenceChange": 4
},
"output": {
"baselineChange": 8,
"controlAdjustedChange": 5,
"residual": 1
}
}Limitations and assumptions
- ControlEffect is a supplied change to subtract, not necessarily an absolute control reading. All terms need a common response scale; randomization, confounding, and clinical significance are not evaluated.
- 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
Similar or alternative tools
- Nonclinical Effect Normalization Factor
Normalize a supplied bench effect against explicit baseline/reference values without predicting a clinical response.
- PD Baseline Normalized Effect Fraction
Normalize a supplied response between baseline and maximum, retaining values outside the reference interval.