Biostatistics - All You Need To Know About The ROC Curve
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- Опубликовано: 10 окт 2024
- If you have multiple diagnostic tests for the same disease, how can you know which one is better? And if you have to choose a certain point as a cutoff for your test, based on what you will do that? The answers to these questions seem to be really complicated, but trust ATP, it is not! In today's video we will discuss The ROC curve and its applications, and how you can employ it to better deal with diagnostic tests. Enjoy!
Content:
0:15 - ROC curve introduction
0:55 - How ROC curve is built
1:58 - Sensitivity & specificity in the ROC curve
2:49 - ROC curve: screening & confirmatory tests (how to choose the optimal cutoff)
3:46 - How to compare between to diagnostic tests
4:25 - Accuracy
5:07 - How to calculate TP, TN, FP & FN using the ROC curve
5:41 - Summary
Credits:
Arabic Subtitles: Tarek Arabi
Illustrations: Anas Idris
Script: Khaled Abdullah
Video Editing: Anas Idris & Mohamad S. Alabdaljabar
Voice Over: Khaled Abdullah
For more content on biostats:
/ khalemedic
Simply AMAZING🌹. In my book, there is something about flipped ROC that I could not understand. I appreciate it if you can shed some light on that part too. Thanks and JAZ.
Great explanation
But could you please clarify the meaning of “cut-offs”?
This was stellar. So clear and pleasant. Thank you so much!
Glad that it was helpful!
Nice explanation, focusing on sensitivity and specificity rather than on TPR and FPR
Glad you liked it!
Of course, I benefited from the video, thanks.
How is the specificity 100% in the bottom left
this is the best explanation 👍
Glad it was helpful! Thank you Meliantha!
Thank you so much! Now i understood clearly!
Thanks for this great explanation
Thank you for your kind words!
Amazing thank you very much
وعليكم السلام شكرا على الشرح❤
EXCELLENT AND CRISP!!!
Well explained
It is the best. Thank you
Don't know how to thank you brother 🙂
It's our pleasure brother Ehsan! Keep us in your prayers!
MSA
Thank you 😊
Thanks ATP😍
Sure!
Thank a lot 👍
No worries!
THANK YOU
Thank you so much this was so good
Glad you enjoyed it!
Wow this is good
👏👏
Amazing work, thank you so much ❤
Our pleasure!
good job!
Thank you
You're most welcome!
👍👍👍👍
What atp stands for?
Adenosine TriPhosphate, the energy molecule of the cell!!
Can we say that
when I have a point A more shifted to the right and top on a ROC curve than an another point B
Then the cutting point use for the point B is always Higher than the cutting point of A ?
Or in other word can we say that the function Specificity (cutting point) is a decreasing function
Walaikum Assalam
for the algo
WAS!!!
I don't know how to thank you.
Share our videos everywhere ;D