Derives links between net benefit, PPV, and subgroup calibration to explain when decision curves exceed treat-all or treat-none lines, and proposes PPV curves as a complement.
Understanding diagnostic tests 1: sensitivity, specificity and predictive values.Acta Paediatrica, 96(3):338?341, February 2007
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Why decision curves go above or below treat-all and treat-none: a PPV- and calibration-based guide for clinical prediction models
Derives links between net benefit, PPV, and subgroup calibration to explain when decision curves exceed treat-all or treat-none lines, and proposes PPV curves as a complement.