{
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  "bskyPostRef": {
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    "uri": "at://did:plc:wwyqal4cnqhuwyacdj7rqq3n/app.bsky.feed.post/3mncdwihxydv2"
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  "path": "/t/rms-parametric-survival-models/28766#post_6",
  "publishedAt": "2026-06-02T07:13:54.000Z",
  "site": "https://discourse.datamethods.org",
  "textContent": "Under proportional hazards, there is a 1-1 mapping between the HR and difference in cumulative incidence so HR is a fully intent-to-treat quantity. When PH is not satisfied you can include treatment \\times \\log(t) interaction and base inference on any intent-to-treat transformation of those parameters and the underlying survival curve, i.e., cumulative incidence or restricted mean survival time.",
  "title": "RMS Parametric Survival Models"
}