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Sensitivity, specificity and predictive values

Understand the model, recognise it in a stem, separate the look-alikes, then apply it.

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Watch it explainedA test that's ninety percent accurate flags you as positive. What's the chance you're actually ill?
Visual explanationUse the diagram to rebuild the concept from memory.
Disease status Present Absent TP FP FN TN Test + Test − Sensitivity reads DOWN the "Present" column PPV reads ACROSS the "Test +" row
The 2×2 contingency table
01Memory anchor
SnNout / SpPin · 'columns = test properties, rows = predictive values'

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