Three myths about risk thresholds for prediction models

Laure Wynants*, Maarten van Smeden, David J. McLernon, Dirk Timmerman, Ewout W. Steyerberg, Ben Van Calster, Topic Grp Evaluating Diagnosti

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Article number192
Number of pages7
JournalBMC Medicine
Volume17
Issue number1
DOIs
Publication statusPublished - 25 Oct 2019

Keywords

  • Clinical risk prediction model
  • Threshold
  • Decision support techniques
  • Risk
  • Data science
  • Diagnosis
  • Prognosis
  • ROC CURVE
  • CANCER
  • INDEX
  • SPECIFICITY
  • SENSITIVITY
  • PERFORMANCE
  • VALIDATION
  • MORTALITY
  • AREA

Cite this

Wynants, L., van Smeden, M., McLernon, D. J., Timmerman, D., Steyerberg, E. W., Van Calster, B., & Topic Grp Evaluating Diagnosti (2019). Three myths about risk thresholds for prediction models. BMC Medicine, 17(1), [192]. https://doi.org/10.1186/s12916-019-1425-3