Examples
Worked examples
- Is an instance
A pre-registered RCT reporting CI of intervention effect crossing zero, interpreted as failing to support efficacy at the studied effect size
Counter-examples
Looks similar, but isn't
- Not an instance
A paper that frames a null result as positive by switching to a secondary outcome is HARKing, not honest null-result publication
Editorial commentary
A null-result publication is a peer-reviewed paper reporting that a study’s primary, pre-specified analysis returned results statistically consistent with no effect — or, in equivalence or non-inferiority designs, consistent with no clinically meaningful difference — with that absence of effect explicitly framed and interpreted as itself an informative finding, not a study failure.
How this differs from a negative-result paper
Null-result publication is the statistically precise sub-case of the broader negative-result paper category: it specifically concerns a pre-specified hypothesis test that failed to reject the null at the chosen significance threshold, whereas “negative result” more loosely covers any unsupported hypothesis, including findings not framed around a formal significance test at all. Both serve the same purpose as a counter-measure to publication bias.
Example
A pre-registered randomised controlled trial reporting a confidence interval for the treatment effect that crosses zero, interpreted plainly as failing to support efficacy at the studied effect size, rather than being reframed around a post-hoc subgroup finding.
What it is not
Switching the paper’s emphasis to a secondary outcome that happened to reach significance, after the primary analysis came back null, is HARKing (hypothesising after the results are known) — a form of reporting bias, not a legitimate null-result publication, regardless of how the paper is ultimately framed.
Also known as
Null finding publication · No-effect paper
Machine-readable encodings
Use in your systems
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