{
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  "path": "/t/biomarker-evaluation-c-statistic-auc-and-alternatives/6956?page=2#post_35",
  "publishedAt": "2026-03-25T01:53:02.000Z",
  "site": "https://discourse.datamethods.org",
  "textContent": "My understanding is that the C statistic of a simple model is interpretable and is an essential metric. What I intend to convey is that comparing C statistics is difficult to interpret. Adding a new factor to a model typically yields small improvements. For example, from 0.70 to 0.72, the practical interpretation of such a result is unclear. Or is this difference interpretable?",
  "title": "Biomarker evaluation - c-statistic (AUC) and alternatives"
}