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Diagnostic Testing Simulator

From disease screening to spam filters — Bayes' Theorem in action

Current Scenario

Disease screening (rare disease)

Result to interpret

Switch between PPV and NPV to compare positive and negative results.

Step 1: Start with prevalence

Every test starts in a specific population. Prevalence tells us how common the condition is — in this scenario, 1.00% of people have the condition, about 10 out of 1,000.

Whole-number counts in the walkthrough are rounded expected counts.

The Big Question

If the result is positive, what is the chance the condition is actually present?

Answer

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Metric

Positive Predictive Value (PPV)

Complete the walkthrough to calculate the PPV for this scenario.