{
  "$type": "site.standard.document",
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    "uri": "at://did:plc:wwyqal4cnqhuwyacdj7rqq3n/app.bsky.feed.post/3ml3q7zdv5hf2"
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  "path": "/t/confidence-intervals-for-right-censored-outcome-with-no-events/28731#post_1",
  "publishedAt": "2026-05-04T19:31:18.000Z",
  "site": "https://discourse.datamethods.org",
  "tags": [
    "the Wilson score interval  that produce sensible confidence intervals even when no events are observed"
  ],
  "textContent": "In the context of a variable with a binomial distribution, there are methods like the Wilson score interval  that produce sensible confidence intervals even when no events are observed\n\nFor an analysis I’ve been working on, I’ve got two treatment groups, and one of them has a relatively small size. The outcome of interest is uncommon, so in the smaller treatment group, we observe 0 events. I can construct the cumulative risk curves for each group (it would be a flat line at 0 for the group with no events). What I can’t find guidance on is how to construct a 95% confidence interval for the cumulative risk curve when there are no observed events.\n\nCan anyone offer guidance on how to tackle this?",
  "title": "Confidence intervals for right-censored outcome with no events"
}