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

doi:10.1186/s12916-019-1425-3

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 journal › Article › Academic › peer-review

Original language	English
Article number	192
Number of pages	7
Journal	BMC Medicine
Volume	17
Issue number	1
DOIs	https://doi.org/10.1186/s12916-019-1425-3
Publication status	Published - 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

Access to Document

10.1186/s12916-019-1425-3

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

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AU - Wynants, Laure

AU - van Smeden, Maarten

AU - McLernon, David J.

AU - Timmerman, Dirk

AU - Steyerberg, Ewout W.

AU - Van Calster, Ben

AU - Topic Grp Evaluating Diagnosti

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KW - Risk

KW - Data science

KW - Diagnosis

KW - Prognosis

KW - ROC CURVE

KW - CANCER

KW - INDEX

KW - SPECIFICITY

KW - SENSITIVITY

KW - PERFORMANCE

KW - VALIDATION

KW - MORTALITY

KW - AREA

U2 - 10.1186/s12916-019-1425-3

DO - 10.1186/s12916-019-1425-3

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VL - 17

JO - BMC Medicine

JF - BMC Medicine

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