Do not imply statistical rigor (e.g., via p-values) that the analysis lacks
Rule
Presenting p-values for a separate analysis of an individual component of a composite endpoint that does not support the efficacy conclusion being represented or suggested — e.g., because the analysis was not adequately powered for that endpoint and/or type 1 error (false positive rate) was not controlled — implies a statistical rigor that does not exist and would be false or misleading.
Check
Check whether p-values are shown for a separate analysis of an individual component of a composite endpoint where the analysis was not adequately powered to determine treatment effect on that component and/or type 1 error was not controlled (e.g., no multiplicity adjustment). A violation looks like a p-value attached to such an analysis, or a direct claim of demonstrated efficacy on the individual component. A.6 endorses presenting such results descriptively without p-values and without claiming a demonstrated effect, together with disclosure of the material limitations, as an acceptable alternative. This concern is stated for analyses of individual components of a composite endpoint; extending it to post-hoc subgroup analyses generally is an inference beyond this text, not something A.6 itself addresses.
Escalate when
Always — requires biostatistical review of whether the analysis was adequately powered/pre-specified.
Where this comes from
Q.6/A.6 · page 16. The highlighted words are quoted exactly; a script confirms they appear in the source before the rule can be published.
…ample, not adequately powered to determine treatment effect on the individual components of the composite endpoint and/or type 1 error (false positive rate) was Contains Nonbinding Recommendations not controlled in these analyses, these analyses would generally not support conclusions about a treatment effect of the product on the individual components of the composite endpoint. In such a case, representing or suggesting that the data support such efficacy conclusions, either directly (e.g., by claiming the product has demonstrated efficacy on the individual components) or indirectly (e.g., by presenting p-values, which would imply a statistically rigorous conclusion where one does not exist), would be false or misleading. If the firm wishes to present this information in a CFL promotional communication, it must do so in a truthful and non-misleading way. For example, the firm could present the results from these analyses of the individual components of the composite endpoint descriptively without p-values and without claiming that the results on the individual components are demonstrated additional effects of the drug. The firm sho…
- Document
- FDA guidance: Medical Product Communications that Are Consistent With the FDA-Required Labeling – Questions and Answers (final)
- Version
- as retrieved — the publisher does not version this document; the fingerprint below identifies the exact file
- Retrieved
- 2026-09-21 from www.fda.gov
- Fingerprint
- 1a18b7f242bfbbf897f198df…
FDA guidance describes the agency's current thinking. It is not binding law, and this rule is a recommendation, not an obligation.