Skip to main content
v2026.1714 entries · CC-BY 4.0
CASRAI

Clinical research & EBM · Reference

What is a non-inferiority trial?

A non-inferiority trial is designed to show that a new treatment is not unacceptably worse than an established comparator, by a pre-specified margin. Unlike a superiority trial, it does not aim to prove the new treatment is better — only that it is not meaningfully worse.

Non-inferiority versus superiority

A conventional randomized controlled trial usually tests for superiority — whether a new intervention produces a better outcome than its comparator. A non-inferiority trial reframes the question: it sets out to show the new intervention is not meaningfully worse. This is the right design when a new option is unlikely to be more effective but is attractive for other reasons — fewer side effects, lower cost, simpler administration — so the aim is to confirm it does not sacrifice too much efficacy in exchange for those advantages.

The non-inferiority margin

The crux of the design is the non-inferiority margin (often written Δ): the largest reduction in effect, fixed in advance, that would still be regarded as acceptable. The trial concludes non-inferiority if the confidence interval for the difference between treatments lies entirely on the acceptable side of this margin. Choosing the margin is a careful judgement, informed by how much of the comparator’s established benefit must be preserved; setting it too wide can declare an inferior treatment "non-inferior". Because the margin is defined before the data are seen, it must be justified in the protocol.

Why analysis and rigour differ

Non-inferiority trials demand particular care because sloppiness biases the result towards the conclusion sought. In a superiority trial, anything that blurs the difference between groups makes a true effect harder to detect; in a non-inferiority trial, the same blurring can make two genuinely different treatments look similar, falsely supporting non-inferiority. For this reason both an intention-to-treat and a per-protocol analysis are usually reported and expected to agree, and reporting follows an extension of the CONSORT statement specific to non-inferiority and equivalence trials.

Key facts

At a glance

  • Goal: Show new treatment is not unacceptably worse
  • Contrast: Differs from superiority (proving better)
  • Key value: Pre-specified non-inferiority margin (Δ)
  • Conclusion: Confidence interval stays on acceptable side
  • Analysis: ITT and per-protocol both reported
  • Reported via: CONSORT non-inferiority extension

Common questions

FAQ

How is a non-inferiority trial different from a superiority trial?+

A superiority trial tries to show a new treatment is better than its comparator. A non-inferiority trial only tries to show it is not worse by more than a pre-specified margin, which suits a new option valued for advantages such as safety, cost or convenience rather than greater efficacy.

What is the non-inferiority margin?+

The non-inferiority margin is the largest acceptable reduction in effect, set in advance, below which the new treatment would be judged unacceptably worse. Non-inferiority is concluded when the confidence interval for the treatment difference lies entirely on the acceptable side of this margin.

Why do non-inferiority trials report both ITT and per-protocol analyses?+

Because anything that blurs the difference between groups can falsely support non-inferiority, these trials are held to extra rigour. Reporting both intention-to-treat and per-protocol analyses, and expecting them to agree, guards against a conclusion of non-inferiority that arises from loose conduct rather than genuine similarity.

The step most authors miss

Doing CRediT right? Don’t stop at the statement.

A CRediT statement credits you inside one paper. The recognition CRediT was built for happens when those roles are tied to you, persistently. Sign in with your ORCID — free — and claim your CRediT contributions on casrai.org, the home of the standard. They become a verified, portable part of your identity, not a line that disappears into one PDF.

Free: claim your contributions, then export a journal-ready CRediT statement, schema.org structured data, JATS XML, CSV or BibTeX — and preview your public profile. A membership publishes that profile publicly and verifies the journals you serve.

Referenced across the research world

University of Cambridge logoColumbia University logoUniversity of Edinburgh logoHarvard University logoUniversity of Oxford logoPrinceton University logoStanford School of Medicine logoUniversity College London logoORCID logoCrossref logoUniversity of Cambridge logoColumbia University logoUniversity of Edinburgh logoHarvard University logoUniversity of Oxford logoPrinceton University logoStanford School of Medicine logoUniversity College London logoORCID logoCrossref logo
  • University of Cambridge logo
  • Columbia University logo
  • University of Edinburgh logo
  • Harvard University logo
  • University of Oxford logo
  • Princeton University logo
  • Stanford School of Medicine logo
  • University College London logo
  • ORCID logo
  • Crossref logo

View CASRAI adoption →