Sensitivity and Specificity simplified
Вставка
- Опубліковано 15 чер 2024
- 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
--------------------------------------------------------------------------------------------------------
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.
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!
Thank you! Very happy that you found it helpful!
Honestly, you saved my time studying. I always get confused with these term. Thank you !!
Thank you!! This video makes it easier to understand! 👍
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!!
Thank you! A concise and clear video that made learning this topic so much easier :)
amazing. best among all. I wish you had created all USMLE biostatistics topics.
This explanation is awesome!!!
Thank you for amazing explanation
Thanks, great explanation
OMG! Thank you so very much for such a clear and clean thorough easy to understand explanation!!!! ❤🤩🙏🏽
Glad you liked it :)
Finally someone that gives an example and explains it with ease!! Thanks
Glad it was helpful!
Thank youuuuuuuu . Absolutly you are AMAZING
Great explanation. Good job
Perfect. Das ist sehr toll! Danke
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 😄😄😄😄😄😄😄😄😄😄😄♥️
What an amazing explanation thank you so much
Glad it was helpful!
This is so easy to understand, thanks a lot from kenya💯
Really I appreciate that❤️
My exam well done ✅ because of you
Thanks.
Can not describe how thankful I am to this amazing and easy video! Appricate it
Thank you ! Glad it helped!
Thanks a lot, a truely helpful video
thank you!! does it also aplly to testing model assumptions with robust methods?
Thank you so much
Please post more videos.....
Thanks :) Glad you found it useful
Amazing way of explaining it
Ty for explaining in easy way
Very clear 👏🏻👏🏻👍🏻👍🏻 thank you ❤
Great presentation
Thanks. I am from England 🇬🇧😀
Great video!! 👍
The easiest explanation ever ❤
Tq sir❤❤❤❤❤ u make this topic clear in mind.....
excellent explanation
wow i loved this !
This is amazing
Excellent
thanks alot you are awesome ❤
Thank you, I hve understood it very well real helper.
Glad it helped!
Very nice video
Thanks 🙏
U should get millions of likes
Dr Ranil Appuhamy… Sri Lankan ??? 🧐🤔🇱🇰
Thx
Love epidemiology 😘
What do we call this type of test? Is there a specific name for it?
perfect🤩🤩🤩🤩🤩
Please make more videos
STELLAR VIDEOO!!! :))))
If i have more than one like button.. I would give this video to 100
Thanks :)
Me too
False negative and false positive is bias?