Skip to content

Main content

Survival Tie Censor Order Token Tool

One supplied tied-time survival factor with explicit censor/event ordering, not a fitted survival curve.

Loading tool…

Description

Return one survival factor under a tied censor/event order.

Biostatistical terms depend on a declared observation unit, exposure denominator, event order and sampling design. A risk-set flag, paired discordance contribution or support-weight ratio can be computed locally without fitting a survival model, establishing a treatment effect or validating an inferential analysis.

Return one survival factor under a tied censor/event order.

When to use this tool

Use Survival Tie Censor Order Token when checking the stated exposure, event, matched-pair or cluster-support convention.

How to use the tool and how it works

  1. Enter events, censors, riskBefore, eventFirst. 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 eventDenominator, survivalFactor. Use the output convention below.

Return one survival factor under a tied censor/event order. Require bounded whole riskBefore/events/censors; eventDenominator = riskBefore when eventFirst, otherwise subtract censors; require positive denominator unless no events, then survivalFactor = one, otherwise 1-events/denominator.1

Input fieldMeaning and unitsAccepted input
eventsEventsRequired. Safe integer; minimum 0.
censorsCensorsRequired. Safe integer; minimum 0.
riskBeforeRisk BeforeRequired. Safe integer; minimum 1.
eventFirstEvent FirstRequired. Boolean.
Output fieldInterpretationReturned shape
eventDenominatorriskBefore for eventFirst, otherwise riskBefore-censors.Required. Safe integer.
survivalFactorSurvival FactorRequired. Finite number.
json
{
  "input": {
    "events": 2,
    "censors": 3,
    "riskBefore": 10,
    "eventFirst": true
  },
  "output": {
    "eventDenominator": 10,
    "survivalFactor": 0.8
  }
}

Limitations and assumptions

  • The tie policy is supplied; this is one product-limit factor, not a complete survival estimate or a justified censoring model.
  • 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

Analyze complete verified data with a method appropriate to the design and censoring assumptions; assess uncertainty and consult qualified statistical and clinical professionals for health conclusions.

References

  1. Calculation and input contract: biostatistics/survival-tie-censor-order-token — tool.io

Similar or alternative tools