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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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Reiki Heaing course content :- https://youtu.be/TkP2-WF-dMk Kyu aati hai Positive ya Negative Energies | Reiki Training To join the course register your name at https://wa.me/ 919953139776 Student's reviews https://www.youtube.com/playlist?list=PL01_wMCxr1H4IbJLwW6T1C-GdBm6JKw_I follow us on Instagram https://www.instagram.com/asasinghgrover/ follow us on Facebook https://www.facebook.com/asasinghgrover/ | Asa Singh Grover
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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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