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  "path": "/t/clustering-in-the-denominator-non-independence-of-starts-in-racing-fatality-studies/28662#post_2",
  "publishedAt": "2026-03-13T17:47:08.000Z",
  "site": "https://discourse.datamethods.org",
  "textContent": "This really avoids your excellent question, but it may be worth taking stock of the likely correlation structure. A random intercept instantiates a compound symmetric correlation pattern that doesn’t respect the forward flow of time. A serial correlation pattern, e.g., a Markov process, may be more likely to hold. This comment would apply more to a non-death outcome perhaps.\n\nRelated to death, this is a terminal event and is most elegantly handled as an absorbing state in a state transition model, at least in other settings I’m more familiar with.",
  "title": "Clustering in the denominator: non-independence of starts in racing fatality studies"
}