#noninferiority
Live, measured metrics for the hashtag #noninferiority from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #noninferiority
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-14 17:32 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-10-14 17:32 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-14 17:32 UTCEverything below is measured over the latest 5 public posts (spanning ~33783 hours).
Posting hours (UTC)
Languages: English (4) · Scottish Gaelic (1)
Avg boosts / post: 1.2
Top of the latest posts
I have a #statistics question. I'm working with an engineer on a data analysis problem for which #NonInferiority might be a better schema than traditional hypothesis testing. However, we are looking to compare more than two groups to the co
#statstab #626 Goal-Driven Flexible Bayesian Design Thoughts: Bayes allows you to design informative studies and anticipate issues. #bayesian #bayes #design #simulation #rct #tutorial #inference #mcid #equivalence #efficacy #estimation #non
Really nice day with #interdisciplinary and stakeholder perspectives at #UofGlasgow at the workshop "What’s a difference that matters? Establishing #PatientFocused “good enough” margins" organised by Beatriz Goulao. Brief intro to #NonInfer
What “noninferiority” means
WikipediaEquivalence tests are a variety of hypothesis tests used to draw statistical inferences from observed data. In these tests, the null hypothesis is defined as an effect large enough to be deemed interesting, specified by an equivalence bound. The alternative hypothesis is any effect that is less extreme than said equivalence bound. The observed data are statistically compared against the equivalence bounds. If the statistical test indicates the observed data is surprising, assuming that true effe
“Equivalence test” on Wikipedia (CC BY-SA) →#noninferiority across platforms
every network with a public tag surfaceFollow #noninferiority straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/noninferiority