ROC curves

Receiver operating characteristic (ROC) curves:Signal detection theory (Radar)

ROC STATA

Key

  1. Sensitivity is on y axis, 1 – specificity on x-axis (100% - specificity if using percent)

  2. Area under the ROC curve is generally between 0.5 (useless) to 1.0 (perfect)

  3. Area is proportional to ability of a test to discriminate diseased from non-diseased. It is an important tool for comparing tests.

  4. It is useful for identifying the best cutoff to define an abnormal test

  5. Slope of a curve = y/x = Se / (100-Sp)

  6. The slope at any point on the curve is also the positive likelihood ratio!

  7. Closest to upper left corner. Youden’s J: point that maximizes sensitivity + specificity - 1

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