{
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  "bskyPostRef": {
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    "uri": "at://did:plc:wwyqal4cnqhuwyacdj7rqq3n/app.bsky.feed.post/3mi23vdfhxzm2"
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  "path": "/t/biomarker-evaluation-c-statistic-auc-and-alternatives/6956?page=3#post_42",
  "publishedAt": "2026-03-26T12:55:59.000Z",
  "site": "https://discourse.datamethods.org",
  "tags": [
    "@f2harrell"
  ],
  "textContent": "I feel you\n\nI think it’s part of our duty as “methodology folks” to fight the weird tendency to overcomplicate simple solutions. As @f2harrell suggests, I bet most physicians can see the point of back-to-back histograms of pre-post test distributions.\n\nMy wife just gave birth to my first child and a huge challenge was to fight the urge to do billions of unnecessary tests that contribute zero information and huge amount of anxiety.\n\nIt’s fairly tempting for clinicians to scare you with false-positive, the price is paid mainly by the patients. This discussion is impossible to make without understanding information gained by diagnosis and/or probability threshold as an exchange rate for decision making.",
  "title": "Biomarker evaluation - c-statistic (AUC) and alternatives"
}