How to interpret ROC curves

In this video I describe how ROC curves are constructed and how to interpret them

[@danieldavis3525]

This is the best description of ROC curves I have found yet. Thank you!

[@xavierandthebastard]

Many thanks from Wales for this concise and effective tutorial, from a struggling radiography undergrad

[@Iceport]

Wow. After spending so much time getting my head around AUC, this video totally clears things up for me. Thank you!

[@DiamondJem21]

One of the few videos that explained this practically and clearly. Thank you

[@pleasemusic3314]

I was so confused about this. And now its finally clear. Thank you :)

[@nickgowen7737]

Great video, as usual. Keep up the good work Dr. Shaneyfelt!

[@NeonBlazeMusic]

Very helpful. To the point and no fluff. Yay!

[@mauryavj]

Very beautiful & simple explanation of this difficult topic. Thank you very much!

[@frankgino9863]

Thank you! Surprisingly difficult to find a good explanation of ROC interpretations out there!

[@wayarberry]

Very clear! Thanks much. Good, concrete example.

[@Jthuma]

Clear. Best seen thus far. Thanks

[@anubrat9150]

Thank you ! You ROC Dr Terry !

[@monemthedon]

Thank you!!! this was really well and simply explained!

[@tyeah4real]

This was great. Really helpful! Thanks

[@asolmsted]

Wonderful video - very helpful for a pharmacy student who is unfamiliar with this material!

[@altafalinaushad6368]

Thanks was waiting for this!

[@alexc9563]

Really simple and useful video, thank you!

[@Nick01822]

Thanks, that was a very useful and concise explanation!

[@pdphan]

You’re a legend. Thanks!

[@rawanali3970]

Thank you so much . Your videos and explanation very helpful for my study of clinical research coordinator course . keep up 👏🏻

[@sarahjarvis9016]

Brilliant- finally its all clear. I'm now looking for an equally clear explanation of 'decision curve analysis' as a tool for assessing the clinical usefulness of a predictive scoring tool. Any ideas where I can find this - I'm coming up blank on searches!

[@amywilderson85]

Thank you for teaching this concept!

[@Percephone475]

Thank you !

[@Swearinbag]

This is epic. Thank you!

[@tsegshbu5457]

thank u ....this is exactly wht I was looking for...

[@kaifeng6649]

wow this was really good thank you dr.shaneyfelt

[@stillastillsfan]

Hello - Thanks for the nice video. I am working in the nondestructive testing (NDT) area. As an analogy for constructing a single curve, could we consider contrast threshold for separating indications from the background rather than threshold for white blood cell count? As an analogy for constructing multiple curves, can we consider use of different NDT testing techniques or Same NDT method (egs. Utrasonic versus Radiography or X-ray CT low kV versus X-ray Ct high kV) but having different parameter settings, for a specific contrast threshold?

[@JoshuaAdamsMDPHD19]

Very helpful and easy to understand. Thank you

[@teanaharris7982]

Thank you Thank you!!!

[@x321swimgirl123x]

So helpful! Thank you

[@mujdatvolkan]

Thank you so much for this video. I have a question though. How would you calculate area under the PCT ROC curve shown in 4:28 ? The black dot does not reach the top right.

[@xvidcap]

Excellent explanation.

[@anikaa7064]

very helpful and well explained. thank you

[@arcadevampire]

Best explanation, thank you

[@Hoovin]

Thanks!

[@mkoberoi]

amazing

[@arimene3748]

Thank you so much

[@tanaka7391]

Thank you so much sir

[@luliu5094]

Hi in the video 4:10, the AUC is 0.723, could you give us a bit more explanation on how this is calculated please?

[@asseelyako4338]

Thanks

[@crow1999x]

Go blazers!!

[@hjjwoodstock9740]

nice microphone

[@chandandacchufan3242]

BUT Y AGAIN ONE MORE LINE PARALLEL TO X AXIS ? IN THE TOP ?? ITS SHOWING 100% FPR

[@EGIGIE]

This was great. Really helpful! Thanks

[@MaameEkua]

Thank you!