Sensitivity and Specificity simplified

Tests are not always perfect. Sensitivity and specificity are measures that can be used to determine how good a test is at correctly identifying the presence or absence of disease. In this video we’ll take a look at what they are, how they are calculated and two related measurements – positive and negative predictive values.

This video was created by Ranil Appuhamy
Narrated by - James Clark

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Disclaimer: These videos are provided for educational purposes only. Users should not rely solely on the information contained within these videos and is not intended to be a substitute for advice from other relevant sources. The author/s do not warrant or represent that the information contained in the videos are accurate, current or complete and do not accept any legal liability or responsibility for any loss, damages, costs or expenses incurred by the use of, or reliance on, or interpretation of, the information contained in the videos.

[adanascencio]

I am studying machine learning, completely different from public health, but this video and concrete examples that are easy to wrap my my around I am positive just saved me a lot of time and headaches, thank you!

[JuanTardes]

Finally someone that gives an example and explains it with ease!! Thanks

[alajamool]

Honestly, you saved my time studying. I always get confused with these term. Thank you !!

[MohamadNourTa]

Can not describe how thankful I am to this amazing and easy video! Appricate it

[jennaalqdah]

Thank you so much! I had a hard time understanding the concept of specificity and sensitivity and their role in tests. This video explained it perfectly.

[tsogomedicalpractice]

wow!!, I am definitely nailing my Test tomorrow

[minabee]

Thank you! A concise and clear video that made learning this topic so much easier :)

[IhtishamMD]

I am still confused. Suppose a person has diabetes and we perform HbA1C and it turn out to be negative mean false negatives so where was the problem in the test. In the machine that gave false negative result???

[maulaa]

Thank you!! This video makes it easier to understand! 👍

[dr.diegomaier]

Amei muito seu vídeo. Agradeço pelo esforço que você coloca nesses vídeos

Eu sou apaixonado por temas relacionados à saúde. Na realidade, eu atendo telemedicina, prestando assistência em todas as regiões do Brasil!

Continue postando!!

[CryptoNation-ct]

This is so easy to understand, thanks a lot from kenya💯

[roronoazoro]

What an amazing explanation thank you so much

[laurenreeves]

This is explained very well! Thank you!!!

[mrittikaghosh]

Sir your voice is very clear and good now i will be able to make my notes by listening to your dictation sir thank you very much 😄😄😄😄😄😄😄😄😄😄😄♥️

[larissacury]

thank you!! does it also aplly to testing model assumptions with robust methods?

[tafmurielle]

Thank you very much, just what I needed.

[gopigariprateek]

amazing. best among all. I wish you had created all USMLE biostatistics topics.

[alicepost]

OMG! Thank you so very much for such a clear and clean thorough easy to understand explanation!!!! ❤🤩🙏🏽

[chttibabu]

Tq sir❤❤❤❤❤ u make this topic clear in

[kharialebu]

Thank you so much for your educational lecture