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wikiHow
Mario Banuelos, PhD
How to Calculate Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value
If you're screening for a disease or specific characteristic in a group of people, it's important to know the sensitivity, specificity, positive predictive value, and negative predictive value so you know how useful your test is. We'll...
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USMLE High-Yield Questions on Instagram: "If this is wrong, then I don’t want to be right 😈 ⸻ ANSWER + EXPLANATION ✅ A) High sensitivity A highly sensitive test has few false negatives. So when the result is negative, you can confidently rule out the condition (SNOUT: Sensitive test rules OUT). That’s why Unc is celebrating. ⸻ WHY THE OTHERS ARE WRONG • B) High specificity – Helps confirm disease when the test is positive (SPIN), not negative. • C) High positive predictive value – Tells you how
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