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  "path": "/t/censored-binomial-models/28732#post_6",
  "publishedAt": "2026-05-07T23:37:39.000Z",
  "site": "https://discourse.datamethods.org",
  "textContent": "Oh, this is actually the first time I’d heard of a Bradley-Terry model! My hunch is that it would likely end up being the same since the censoring in a censored binomial is handled by summing up PMFs (CDF) of censored observations, so it should be equivalent to a Bradley-Terry model in the same way standard logistic regression is.\n\nOne thing that’s easier to use (since there isn’t a whole lot of support for censored binomial models) is a censored Poisson (you would use the log of N as an offset), which is implemented in more packages (`mgcv`, `brms`, `INLA`, and probably others as well). You would need to use robust standard errors to rectify the CIs (which I was planning to do anyway since I have a few clusters) and you would need to be okay with RRs rather than ORs as the default contrast.",
  "title": "Censored binomial models"
}