An Introduction to Statistics with Python by Thomas Haslwanter

Author:Thomas Haslwanter
Language: eng
Format: epub, pdf
Publisher: Springer International Publishing, Cham

Fig. 7.8Effect of prevalence on PPV and NPV. “T” stands for “test,” and “P” for “patient.” (For comparison with below: T+P+ = TP, T−P− = TN, T+P− = FP, and T−P+ = FN.)

Figure 7.8 shows how the prevalence of a disease affects the interpretation of diagnostic results, with a test with a given specificity and sensitivity: a high prevalence of the disease increases the PPV of the test, but decreases the NPV; and a low prevalence does exactly the opposite. Figure 7.9 gives a worked example.

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