#mixedmodels
Live, measured metrics for the hashtag #mixedmodels from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #mixedmodels
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 2026-11-10 14:17 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 2026-11-10 14:17 UTCNo related tags with measured usage found for #mixedmodels.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-11-10 14:17 UTCEverything below is measured over the latest 15 public posts (spanning ~28370 hours).
Posting hours (UTC) — busiest: 11:00
Languages: English (14) · German (1)
Avg boosts / post: 2
Top of the latest posts
Time for an #introduction: I’m Ewan 👋 a statistician and researcher in Biostatistics & Health Informatics, King’s College London. I do things with numbers and mental health. Right now, that includes: (1) mental-physical links in routine da
Due to a recent discussion with colleagues on whether and when to use #LinearMixedModels (#LMM), I wrote a blog post comparing LMM to other approaches using simulated data. I thought, it may also be useful for others working with hierarchic
New Blogpost on Type-1 error in LMM/MixedModels What happens if one does not include random-slopes? https://benediktehinger.de/blog/science/lmm-type-1-error-for-1condition1subject/ Including an Interactive Demo: https://benediktehinger.de/i
#mixedmodels across platforms
every network with a public tag surfaceFollow #mixedmodels 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/mixedmodels