2016
DOI: 10.1016/j.surg.2015.12.029
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ROC-ing along: Evaluation and interpretation of receiver operating characteristic curves

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Cited by 557 publications
(375 citation statements)
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“…Receiver operating characteristic (ROC) curves were constructed to evaluate the predictive power of transcript levels for diagnosis of B-cell ALL. The Youden Index was used to calculate optimal cutoff points for gene transcript levels in diagnosis of B-cell ALL [50]. Survival functions were estimated by the Kaplan-Meier method and compared by the log-rank test.…”
Section: Methodsmentioning
confidence: 99%
“…Receiver operating characteristic (ROC) curves were constructed to evaluate the predictive power of transcript levels for diagnosis of B-cell ALL. The Youden Index was used to calculate optimal cutoff points for gene transcript levels in diagnosis of B-cell ALL [50]. Survival functions were estimated by the Kaplan-Meier method and compared by the log-rank test.…”
Section: Methodsmentioning
confidence: 99%
“…Variables with significant collinearity (| r | ≥ 0.20, p < 0.05) to other variables in the model were eliminated, and all remaining variables were entered into the regression equation. Models were compared by area under the receiver operating characteristic curve (AUROC) [13, 14]. AUROC for different models were compared as described by DeLong et al [15] using SAS (version 9.3, SAS Institute, Cary, NC).…”
Section: Methodsmentioning
confidence: 99%
“…Similar to the training cohort, comparisons 1, 2 and 3 as described above, were generated using data from the single miRNA assays and receiver operating characteristic (ROC) curves constructed and area-under-the-curve (AUC) calculated. 18 …”
Section: Methodsmentioning
confidence: 99%