If calibration, discrimination, lift gain, precision recall, F1, Youden, Brier, AUC, and 27 other accuracy metrics can’t tell you if a prediction model (or diagnostic test, or marker) is of clinical value, what should you use instead?

Date:

June 14, 2023

Time:

3:00 - 4:00pm

Place:

MH-2700 & via Zoom

Traditional accuracy metrics such as discrimination and calibration, while extremely useful for the analyst in understanding how to improve a model, cannot answer the question of whether a model should be used in clinical practice, or which of two competing models should be used. This talk will discuss decision curve analysis, a now very widely-used method that can help determine the clinical utility of a prediction model.

Speaker: Andrew Vickers, PhD, Attending Research Methodologist, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center

To obtain Zoom link please email: Liz Buggs

Event Type:

Biostatistics and Bioinformatics Seminar

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If calibration, discrimination, lift gain, precision recall, F1, Youden, Brier, AUC, and 27 other accuracy metrics can’t tell you if a prediction model (or diagnostic test, or marker) is of clinical value, what should you use instead?