Title: Using the GLM Approach for Comparing ROC Curves
Abstract:A well accepted measure of accuracy for diagnostic test is the
Receiver Operating Characteristic (ROC) curve. Within the
generalized linear model (GLM) binary regression framework, ROC
curves can be e...A well accepted measure of accuracy for diagnostic test is the
Receiver Operating Characteristic (ROC) curve. Within the
generalized linear model (GLM) binary regression framework, ROC
curves can be estimated. In studies of classification accuracy,
there are often covariates that should be incorporated into the
ROC analysis. One nice feature of ROC-GLM method is that it can
be easily extended to adjust covariate effects.Read More
Publication Year: 2013
Publication Date: 2013-01-01
Language: en
Type: article
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot