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v2026.1714 entries · CC-BY 4.0
Dictionary termTrack CStablev2026.2

Robustness check

An additional analysis, supplementary to the headline result, that varies one or more analytical choices in order to demonstrate that the main conclusion is not artefactual to those choices.

ByCASRAI Editorial Board
· Last updated 21 May 2026

Examples

Worked examples

  • Is an instance

    A regression result presented with and without country fixed effects.

  • Is an instance

    A trial outcome reanalysed under per-protocol and intention-to-treat populations.

Counter-examples

Looks similar, but isn't

  • Not an instance

    A new experiment on a new sample (replication).

  • Not an instance

    Re-running the same code (reproducibility).

Editorial commentary

Robustness checks include alternative estimators, alternative samples, dropped covariates, transformed outcomes, and bootstrap resampling. They are most informative when pre-specified; ad hoc robustness checks chosen after seeing the main result can themselves be a form of garden-of-forking-paths.

References

  • Leamer, 'Specification Searches: Ad Hoc Inference with Nonexperimental Data' (Wiley, 1978).

Also known as

sensitivity analysis

Machine-readable encodings

Use in your systems

JATS XML <role> element
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Schema.org DefinedTerm (JSON-LD)
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