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  "path": "/t/best-model-reduction-approach-for-fine-gray-prediction-model/28678#post_5",
  "publishedAt": "2026-03-27T04:16:28.000Z",
  "site": "https://discourse.datamethods.org",
  "textContent": "Hello everyone,\n\nThank you all for the feedback! Appreciated!\n\nFor unsupervised learning methods like principal component analysis, does it involve reducing the number of candidate variables before any model fitting?\n\nAlso, I may have misclassified Ambler as pure stepwise earlier. My teammate said that the (Harrell-)Ambler method is not standard stepwise as it is categorized more as a selection procedure that emphasizes validation and shrinkage. Here are her comparison notes below:\n\n\nPlease let me know what you think.\n\nThanks again,\nRaf",
  "title": "Best model reduction approach for Fine-Gray prediction model"
}