{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreid7i3masioeswhcjtnzah4uvrknruhsw7jxynos3fjsp53vpwhr2e",
    "uri": "at://did:plc:wwyqal4cnqhuwyacdj7rqq3n/app.bsky.feed.post/3mmeneonivb22"
  },
  "path": "/t/external-validation-of-logistic-based-risk-in-time-to-event-setting/28752#post_2",
  "publishedAt": "2026-05-21T11:45:35.000Z",
  "site": "https://discourse.datamethods.org",
  "textContent": "I would like to explore background issues first. For a binary logistic model to work in the first place, no patient could have been lost to follow-up before one year. Is that definitely the case?\n\nSecond, binary logistic models are very inefficient in this setting, and freeze the user to use only a one-year prognostic horizon. Time-to-event models would have allowed prognostication about any time frame that was within the study’s follow-up window. They would have also handled variable censoring times.",
  "title": "External validation of logistic-based risk in time-to-event setting"
}