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Comparing Survival Extrapolation within All-Cause and Relative Survival Frameworks by Standard Parametric Models and Flexible Parametric Spline Models Using the Swedish Cancer Registry.

Enoch Yi-Tung ChenYuliya LeontyevaChia-Ni LinJung-Der WangMark S ClementsPaul W Dickman
Published in: Medical decision making : an international journal of the Society for Medical Decision Making (2024)
For survival extrapolation to 10 y, spline models generally performed better than standard parametric models did. However, using an all-cause or a relative survival framework showed no distinct difference under the same parametric model.Survival extrapolation to lifetime within a relative survival framework agreed well with the observed data, especially using spline models.Extrapolating parametric models within an all-cause survival framework may overestimate survival proportions at lifetime; models for the relative survival approach may underestimate instead.
Keyphrases
  • free survival
  • machine learning
  • electronic health record
  • deep learning
  • data analysis