Biostatistics - All You Need To Know About The ROC Curve

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

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