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Longevity Study Censoring Token

Encode mutually exclusive supplied longevity follow-up flags without estimating survival.

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Description

Label mutually exclusive event, loss-to-follow-up and administrative-end states.

Aging research distinguishes participant and informant identities, calendar-month coordinates, time-use exposure and event/censoring status. Proxy responses and missing codes carry different meanings from direct observations. Local record summaries do not establish lifespan, legal status, accessibility or appropriate care.

Label mutually exclusive event, loss-to-follow-up and administrative-end states.

When to use this tool

Use Longevity Study Censoring Token when checking the stated aging-study record, timing, censoring or support convention.

How to use the tool and how it works

  1. Enter participantId, observedEvent, lostToFollowup, administrativeEnd. 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 status. Use the output convention below.

Require nonempty participantId and at most one true observedEvent/lostToFollowup/administrativeEnd flag. Return event, lost-to-followup, administratively-censored or ongoing in that order.1

Input fieldMeaning and unitsAccepted input
participantIdParticipant IdRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192.
observedEventObserved EventRequired. Boolean.
lostToFollowupLost To FollowupRequired. Boolean.
administrativeEndAdministrative EndRequired. Boolean.
Output fieldInterpretationReturned shape
statusExclusive supplied event/censoring state; all flags false gives ongoing.Required. Text; maximum UTF-16 length 8192.
json
{
  "input": {
    "participantId": "P17",
    "observedEvent": false,
    "lostToFollowup": true,
    "administrativeEnd": false
  },
  "output": {
    "status": "lost-to-followup"
  }
}

Limitations and assumptions

  • This records supplied observation status; it does not fit survival, determine an event date or verify follow-up conditions.
  • 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.

Alternative or Complementary methods

Use verified original records and suitable complete research methods; involve qualified health, accessibility or legal professionals for actual care or rights decisions.

References

  1. Calculation and input contract: gerontology/longevity-study-censoring-token — tool.io

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