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Results: According to the simulation study, if biomarker indicators in healthy group are constant and are lower or equal in healthy group than/to disease group, both adjusted AUC (Adj AUC) and AUC have small values and, no significant difference was found between them.

Three approaches to regression analysis of receiver operating characteristic curves for continuous test results.

An interpretation for the ROC curve and inference using GLM procedures.

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Ordinal regression methodology for ROC curves derived from correlated data.

A general regression methodology for ROC curve estimation.

Model does not work well when sample size of disease and healthy are less than 50. Adjusting for Covariate Effects in Biomarker Studies Using The Subject-Specific Threshold ROC Curve.

Adjusting receiver operating characteristic curves and related indices for covariates.

PSA and age values of 125 patients who were examined prostate biopsy with pre-diagnosis of prostate cancer in Gaziosmanpasa University Faculty of Medicine Department of Urology at the years of 2005 to 2007. Distribution-free ROC analysis using binary regression techniques.

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