Receiver Operating Characteristic (ROC) Curve Analysis for Optimal Cut-off in Disease Identification

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=1rh5jBaWfldoA62eVyluxghZQ-jrUFdkJ.
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

Видео Receiver Operating Characteristic (ROC) Curve Analysis for Optimal Cut-off in Disease Identification канала xan mos