Receiver Operating Characteristic ROC Curve Analysis for Optimal Cutoff in Disease Identification
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=YdNhNfJ4Vl8
This video presents how to perform ROC analysis in determining the optimal cut-off for disease identification. It starts with the manual calculations of identifying the measures of accuracy (sensitivity, specificity, etc) for each cut-off, sketching the ROC curve, and eventually using Youden's index J for the optimal cut-off. The use of R was demonstrated on how to generate the same results, and for Area Under the Curve (AUC) calculation. • Data may be downloaded at https://drive.google.com/open?id=1rh5.... • • Video Chapters: • 0:00 Introduction • 2:59 Manual calculation and concepts using example 1 (miRNA.RData) • 25:20 Using R (miRNA.RData) • 31:59 Example 2 (elastase.RData) • 34:50 Reminders in using ROC Curve
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