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Covariate-Adjusted ROC Curve Analysis by Christos Grigoroglou is a document available to read on EtoBox.

What is Covariate-Adjusted ROC Curve Analysis about?

This document proposes a method called the covariate-adjusted receiver operating characteristic (ROC) curve to evaluate how well a diagnostic marker distinguishes between disease states after accounting for the effects of covariates. Covariates could include patient characteristics, test procedures, or specimen handling factors that influence marker levels and classification accuracy. The covariate-adjusted ROC averages the covariate-specific ROC curves, holding the false positive rate constant across covar

Author

Christos Grigoroglou

Language

EN