BEMO:2000084 · BEMO metric v1.0.0

Assumption Sensitivity

A canonical biomedical evidence metric quantifying the scientific credibility, reliability, relevance, or interpretability of assumption sensitivity.

CandidateTemplateComputableGenericTemplateDefined
Scientific pillar
Study Design, Statistical Validity, and Causal Inference
Source category
Causal Inference
Output scale
ProportionScale
Source maturity
Mature

Scientific meaning

What it measures

Assesses assumption sensitivity using evidence appropriate to causal inference, distinguishing random uncertainty from systematic error.

Why it matters

Material weakness in assumption sensitivity can change the direction, magnitude, certainty, or biological interpretation of the research conclusion.

Measurement criteria

Prespecified threshold; valid reference standard; complete 2×2 classification; confidence intervals; spectrum and prevalence assessment.

Typical methods of assessment

Structured critical appraisal; quantitative estimation with uncertainty; prespecified thresholds; independent replication; sensitivity and subgroup analyses.

Computation profile

value = numerator / denominator, with denominator > 0
Computation mode
QuantitativeProportionComputation
Readiness
TemplateComputable
Formula status
GenericTemplateDefined
Method family
proportion estimation
Output datatype
xsd:decimal
Unit or scale
Proportion or percentage (0–1 or 0–100%)
Numeric range
0 to 1
Directionality
ContextDependentDirection

Required inputs

  • numerator
  • denominator
  • operational_definition
  • assessment_context

Optional inputs

  • weight
  • stratum
  • confidence_level

Machine-readable expression

{
  "language": "BEMO-Expression-JSON",
  "operator": "divide",
  "arguments": [
    "numerator",
    "denominator"
  ],
  "constraints": [
    "denominator > 0"
  ]
}

Computation policies

Aggregation
Not specified in source; must be defined and versioned before composite use.
Normalization
None by default; any normalization must be justified, versioned, and validated.
Missing data
Must be declared before computation; report missingness; no silent imputation; perform sensitivity analysis when material.
Uncertainty required
Yes
Uncertainty method
Confidence interval, credible interval, bootstrap distribution, inter-rater reliability, or sensitivity analysis as scientifically applicable.
Confidence interval required
Yes
Threshold policy
Prespecify, justify, version, and sensitivity-test thresholds; do not derive and evaluate on the same data without correction.
Decision thresholds
No universal threshold declared
Quality control
Source provenance; input validation; duplicate control; uncertainty reporting; independent or orthogonal validation where applicable.
Calibration
As applicable; required when interpreted probabilistically.

Applicability and validation

Evidence object
Result / experiment / study / body of evidence, as applicable
Evidence level
Result / experiment / study / body of evidence, as applicable
Study types
Randomized and observational etiologic studies, natural experiments, target-trial emulations
Domain
Causal Inference
Required data sources
Context-specific; use source references, registered studies, primary data, and authoritative biomedical resources as applicable.
Validation status
Source maturity: Mature; BEMO computation profile requires independent validation.
Benchmark
A representative, versioned benchmark set is required before production use.
Reference standard
Use an independent reference standard when one exists; document expert-adjudicated alternatives.
External validation required
Yes

Interpretation safeguards

Common misinterpretations

Treating assumption sensitivity as interchangeable with overall study quality, or interpreting a favorable value as proof that all other bias and validity domains are satisfactory.

Limitations

Depends on context, operational definition, thresholds, data quality, and evaluator judgment; it should not be used as a stand-alone summary score without domain-level evidence.

Dependency status

Not yet curated. Closely related metrics are represented; causal or computational dependencies require expert curation.

Source provenance

Source workbook
Pure_Biomedical_Evidence_Research_Metrics_Part_2(3).xlsx
Source worksheet
Biomedical Evidence Metrics
Source row
91
Source record SHA-256
b75d62759fbd8f126f27997543f0f46dde1cb8c2484d156a08c9925c9476aa63
Definition source
Pure_Biomedical_Evidence_Research_Metrics_Part_2(3).xlsx row 91; see source_references

Scientific references (5)

  1. https://www.riskofbias.info/welcome/home/current-version-of-robins-iSource framework, standard, guideline, or originSource-preserved; URL reachability not asserted by this package
  2. https://www.riskofbias.info/welcome/robins-e-toolSource framework, standard, guideline, or originSource-preserved; URL reachability not asserted by this package
  3. https://www.gradeworkinggroup.org/Source framework, standard, guideline, or originSource-preserved; URL reachability not asserted by this package
  4. https://www.equator-network.org/reporting-guidelines/strobe/Source framework, standard, guideline, or originSource-preserved; URL reachability not asserted by this package
  5. https://database.ich.org/sites/default/files/E9_Guideline.pdfSource framework, standard, guideline, or originSource-preserved; URL reachability not asserted by this package

Governance and FAIR status

Lifecycle
Candidate
Approval
Draft
Owner
BEMO Project
Curator
Unassigned
Reviewer
Unassigned
License
Pending owner approval; CC BY 4.0 recommended for OBO compatibility.
Findable
Provisional: stable local ID assigned; public namespace registration pending.
Accessible
Provisional: package is distributable; permanent public release location pending.
Interoperable
Yes: OWL 2, RDF, SKOS, SHACL, JSON-LD, CSV, and OBO-style identifiers.
Reusable
Provisional: rich metadata supplied; open-license owner approval pending.
Governance note
Candidate term pending scientific, ontology-engineering, and computation-method review.
Editor note
Source content preserved verbatim; computation metadata is a generated default and must be curated before normative use.