Description
Return availability share of required endpoint components.
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 availability share of required endpoint components.
When to use this tool
Use Endpoint Component Availability Share when checking the stated exposure, event, matched-pair or cluster-support convention.
How to use the tool and how it works
- Enter available, required. Follow any array-alignment requirements below. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read requiredCount, availableRequired, share, defined. Inspect defined before interpreting the associated values.
Return availability share of required endpoint components. Require aligned available/required flags; count required and available-required positions, divide or return zero with defined false when none required.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| available | Available | Required. Array of boolean; maximum items 256. |
| required | Required | Required. Array of boolean; maximum items 256. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| requiredCount | Required Count | Required. Safe integer. |
| availableRequired | Available Required | Required. Safe integer. |
| share | Dimensionless numerator/denominator ratio under the explicit basis above. | Required. Finite number. |
| defined | Reporting flag under the explicit denominator or information policy above; inspect any zero placeholder or policy-defined value. | Required. Boolean. |
{
"input": {
"available": [
true,
false,
true
],
"required": [
true,
true,
false
]
},
"output": {
"requiredCount": 2,
"availableRequired": 1,
"share": 0.5,
"defined": true
}
}Limitations and assumptions
- Flags do not establish that a composite endpoint is clinically appropriate, complete for analysis or measured validly.
- 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
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
Similar or alternative tools
- Research Comparator Support Share
Return distinct studies with jointly reported comparator, baseline and outcome fields.
- Cluster Observation Support Share
Return observation support by distinct cluster weight.