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Add Ran requests to the presentation #9

@uriahf

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@uriahf
  • 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

  • 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

  • Basic principles of ROC analysis

  • Tests that are not related to the binarization of the predictions (Like treat all)

  • Relate to prevalence as not constant

  • Reread all related literature (relative utility)

  • Express the price of the intervention in terms of different patients (not sure how).

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