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  "path": "/t/rms-semiparametric-ordinal-longitudinal-model/4819?page=6#post_114",
  "publishedAt": "2026-04-28T09:47:23.000Z",
  "site": "https://discourse.datamethods.org",
  "textContent": "I wanted to report a finding that slightly surprised me. I had the chance to reanalyze trial data from COV-BARRIER, which recorded the 8-level NIAID ordinal score for 28 days. What surprised me was that all the differences between the groups comes from mortality, not something we saw in ACTT-2 for example. There’s no difference in ventilation, high-flow oxygen etc.\nThis results in the unexpected situation that P(Benefit) is larger if one just runs a logistic regression for death at 28 days, compared to the longitudinal ordinal model over the whole 28 days using all 8 levels.\nIt’s probably quite unusual / unlucky, but made me more aware that including more levels can reduce power if we include levels which are not affected by treatment.",
  "title": "RMS Semiparametric Ordinal Longitudinal Model"
}