Retrospective statistical mining to find unsupported findings may mislead
AI-verifiedwarningBinding lawRaised as a question — a person decides
Rule
An ad may be misleading if it uses retrospective statistical mining to discover and cite findings not soundly supported by the original study.
Check
Determine whether cited findings resulted from pre-specified analysis or retrospective/post-hoc statistical mining not soundly supported by the study.
Escalate when
Distinguishing sound retrospective analysis from unsupported data-mining requires statistical expertise.
Where this comes from
21 CFR 202.1(e)(7)(iii). The highlighted words are quoted exactly; a script confirms they appear in the source before the rule can be published.
…t if it: (i) Contains favorable information or conclusions from a study that is inadequate in design, scope, or conduct to furnish significant support for such information or conclusions. (ii) Uses the concept of “statistical significance” to support a claim that has not been demonstrated to have clinical significance or validity, or fails to reveal the range of variations around the quoted average results. (iii) Uses statistical analyses and techniques on a retrospective basis to discover and cite findings not soundly supported by the study, or to suggest scientific validity and rigor for data from studies the design or protocol of which are not amenable to formal statistical evaluations. (iv) Uses tables or graphs to distort or misrepresent the relationships, trends, differences, or changes among the variables or products studied; for example, by failing to label abscissa and ordinate so that the graph creates a misleading impression. (v) Uses repor…
- Document
- 21 CFR 202.1
- Version
- 2026-09-16 — the link above is pinned to this date, so it shows the text as it stood then
- Retrieved
- 2026-09-21 from www.ecfr.gov
- Fingerprint
- a542640a872b3f2702d549e8…