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  "path": "/t/sample-size-in-prognostic-factor-research/28591#post_8",
  "publishedAt": "2026-04-11T22:36:36.000Z",
  "site": "https://discourse.datamethods.org",
  "textContent": "thank you all for the input!\n\nactually this was the intention of my question, i do not want a sample size calculation to justify my observation is powered etc, i wanted it to choose the number of confounders to adjust without overfitting (in an explanatory model to show the association of a prognostic factor with an outcome).\n\nFor now my strategy was to include established and well-known risk factors (e.g. age and comorbidities) and then it is okay to adjust too much (more than the rule of thumb with 10 EPV). > here it would be amazing to have something like the pmsampsize package from Riley et al.",
  "title": "Sample size in prognostic factor research"
}