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- How to incorporate test harm in terms of True Positives.
Found in the original paper Decision Curve Analysis: A Novel Method for Evaluating Prediction Models.
Net benefit = TP/N - FP/N * ( pt / ( 1 - pt ) ) - test-harm
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Adjusted ROC: Under specific ( pt / ( 1 - pt ) ) draw an adjusted ROC:
SensitivityPrevalence vs (1-Specificty)(1-Prevalence)*(pt)/(1-pt) -
Peirce, Youden, and Receiver Operating Characteristic Curves
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Tests that are not related to the binarization of the predictions (Like treat all)
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Relate to prevalence as not constant
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Reread all related literature (relative utility)
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Express the price of the intervention in terms of different patients (not sure how).
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