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Quantitative prediction error analysis to investigate predictive performance under predictor measurement heterogeneity at model implementation.

Kim LuijkenJia SongRolf H H Groenwold
Published in: Diagnostic and prognostic research (2022)
Heterogeneity of predictor measurements across settings of validation and implementation reduced predictive performance at implementation of prognostic models with a time-to-event outcome. When validating a prognostic model, the targeted clinical setting needs to be considered and analyses can be conducted to quantify the impact of anticipated predictor measurement heterogeneity on model performance at implementation.
Keyphrases
  • primary care
  • healthcare
  • quality improvement
  • single cell
  • drug delivery
  • mass spectrometry
  • cancer therapy
  • data analysis