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Query Reopen Count At Cutoff Tool

Count exact supplied reopen event tokens up to an explicit cutoff without reconstructing query state.

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Description

Count query-reopen events before an explicit cutoff.

Clinical research distinguishes supplied protocol metadata, participant/event records, allocation bookkeeping and an analysis target. A local count, permission flag or denominator choice can help reconcile records without establishing valid consent, randomization, regulatory compliance or a reliable treatment-effect estimate.

Count query-reopen events before an explicit cutoff.

When to use this tool

Use Query Reopen Count At Cutoff 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 eventTimes, eventKinds, cutoff, includeCutoff. 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 reopenCount, includedEvents. Use the output convention below.

Count query-reopen events before an explicit cutoff. Require aligned eventTimes/eventKinds; include times < cutoff or <= when includeCutoff, count literal reopen kinds and all included events separately.1

Input fieldMeaning and unitsAccepted input
eventTimesEvent TimesRequired. Array of finite number; maximum items 256.
eventKindsEvent KindsRequired. Array of text; maximum UTF-16 length 8192; maximum items 256.
cutoffCutoffRequired. Finite number.
includeCutoffInclude CutoffRequired. Boolean.
Output fieldInterpretationReturned shape
reopenCountReopen CountRequired. Safe integer.
includedEventsIncluded EventsRequired. Safe integer.
json
{
  "input": {
    "eventTimes": [
      1,
      3,
      5,
      7
    ],
    "eventKinds": [
      "open",
      "reopen",
      "close",
      "reopen"
    ],
    "cutoff": 5,
    "includeCutoff": true
  },
  "output": {
    "reopenCount": 1,
    "includedEvents": 3
  }
}

Limitations and assumptions

  • Events need not be sorted and duplicate events are not removed; no actual query history or valid transition order is verified.
  • 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-research/query-reopen-count-at-cutoff — tool.io

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