How to Calculate Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value
wikiHowMario 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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POSITIVE PREDICTIVE VALUE (PPV) AND NEGATIVE PREDICTIVE VALUE (NPV) Still able to follow and understood what sensitivity and specificity are and how to calculate them? Like mention in the video before, there are two problems with those values and the SPPIn and SNNOut rule: 1) In real life there are hardly any 100% accurate tests, which is why you will have a lot of false positive and false negative results. Meaning that it only makes sense to use the SPPIn and SNNOut rule with very high values (
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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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