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Evidence Null Crossing Token Tool

Inspect a supplied evidence interval and null convention without asserting efficacy or clinical significance.

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Description

Check an evidence interval against a supplied null with endpoint policies.

Research effect estimates depend on outcome definitions, unit conversions, orientation and statistical assumptions. A written rounding envelope describes reporting precision; an effect-size contribution or supplied interval is different from a fitted analysis, a confidence statement or evidence of clinical benefit.

Check an evidence interval against a supplied null with endpoint policies.

When to use this tool

Use Evidence Null Crossing Token when checking the stated effect-size, measurement or interval convention.

How to use the tool and how it works

  1. Enter lower, upper, suppliedNull, includeLower, includeUpper. 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 containsNull, touchesNull. Inspect containsNull, touchesNull before interpreting the associated values.

Check an evidence interval against a supplied null with endpoint policies. Require lower <= upper; containsNull applies includeLower/includeUpper, touchesNull uses exact endpoint equality independently.1

Input fieldMeaning and unitsAccepted input
lowerLowerRequired. Finite number.
upperUpperRequired. Finite number.
suppliedNullSupplied NullRequired. Finite number.
includeLowerInclude LowerRequired. Boolean.
includeUpperInclude UpperRequired. Boolean.
Output fieldInterpretationReturned shape
containsNullContains NullRequired. Boolean.
touchesNullExact equality of suppliedNull to either endpoint, independent of endpoint inclusion.Required. Boolean.
json
{
  "input": {
    "lower": -1,
    "upper": 2,
    "suppliedNull": 0,
    "includeLower": true,
    "includeUpper": true
  },
  "output": {
    "containsNull": true,
    "touchesNull": false
  }
}

Limitations and assumptions

  • Touching can be true while containment is false; this does not validate a confidence interval or determine statistical/clinical significance.
  • 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 a complete, justified statistical analysis and original study data; distinguish reporting precision from sampling uncertainty and assess clinical relevance independently.

References

  1. Calculation and input contract: chiropractic/evidence-null-crossing-token — tool.io

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