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Trial Minimization Supplied Arm Imbalance Term Tool

Score one supplied candidate allocation against explicit arm targets; no assignment or random choice.

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Description

Return imbalance after one proposed arm assignment.

Allocation bookkeeping distinguishes arm counts, indexing and vocabulary matches from generation of a concealed random sequence. Floored targets can leave unassigned remainders, and a local balance score does not establish that an allocation method protects a trial from selection bias.

Return imbalance after one proposed arm assignment.

When to use this tool

Use Trial Minimization Supplied Arm Imbalance Term when checking the stated clinical-research record, allocation, timing, analysis or evidence-basis convention.

How to use the tool and how it works

  1. Enter currentCounts, targetWeights, candidateArm, totalAfter. Keep parallel arrays aligned. 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 projectedCounts, absoluteImbalance. Use the output convention below.

Return imbalance after one proposed arm assignment. Require aligned nonnegative whole counts/positive target weights, valid candidateArm and totalAfter = sum(counts)+1; increment candidate count and sum absolute deviations from target-proportional totals.1

Input fieldMeaning and unitsAccepted input
currentCountsCurrent CountsRequired. Array of safe integer; maximum items 256.
targetWeightsTarget WeightsRequired. Array of finite number; maximum items 256.
candidateArmCandidate ArmRequired. Safe integer; minimum 0.
totalAfterTotal AfterRequired. Safe integer; minimum 1.
Output fieldInterpretationReturned shape
projectedCountsProjected CountsRequired. Array of safe integer; maximum items 256.
absoluteImbalanceAbsolute ImbalanceRequired. Finite number.
json
{
  "input": {
    "currentCounts": [
      3,
      2
    ],
    "targetWeights": [
      1,
      1
    ],
    "candidateArm": 1,
    "totalAfter": 6
  },
  "output": {
    "projectedCounts": [
      3,
      3
    ],
    "absoluteImbalance": 0
  }
}

Limitations and assumptions

  • This is one candidate score, not a complete minimization scheme, randomization policy or protection against selection bias.
  • 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

Use the complete approved protocol, authenticated source records and qualified clinical/statistical oversight for actual trial design, conduct and interpretation.

References

  1. Calculation and input contract: clinical-trials/trial-minimization-supplied-arm-imbalance-term — tool.io

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