ROC Analysis: Examples

In this final lecture on ROC curves, we explore two practical applications from Advanced Statistics with Applications in R. Using mortgage default and radiation exposure data, we demonstrate empirical and binormal ROC methods, optimal threshold selection, sensitivity, false positive rates, and the effect of log transformation. The lecture concludes with a summary of key ROC concepts and their practical interpretation. For statistical consultations, tuition, or lectures, please contact Prof. Sarath Banneheka at sarath.banneheka@gmail.com