ROC analysis

ROC analysis

Clinical decision-making The analysis of the relationship between the true positive fraction of test results and the false positive fraction for a diagnostic procedure that can take on multiple values. See 4-cell decision matrix. Cf Likelihood ratio.
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We performed ROC analysis on both the prospective and retrospective data and determined diagnostic specificity and sensitivity and areas under the curves (AUC).
In our cohort, ROC analysis of individual median L:P ratio irrespective of the lactate category showed an optimal cut point at 23.
On ROC analysis, RUCs for the derived HPLC variables and the calculated traditional risk markers were estimated to describe the power of the variables to distinguish between the 2 groups.
15) found similar diagnostic performances for creatinine and BTP by ROC analysis in 85 RTRs.
ROC analysis for MI/ death at 30 days for the hs-cTnI [delta] had an area under the curve of0.
To determine the cut-off scores of the Turkish version of the DASS-42, for a non-clinical student population, we used ROC analysis.
Large differences between assay performances were evident after adjusted sensitivity calculation and ROC analysis (Fig.
The primary end point for the study is to undertake a ROC analysis of control subjects versus all epithelial ovarian cancer patients.
A summary ROC analysis estimates a smooth curve that defines the relationship between the true-positive rate (TPR) and false-positive rate (FPR) across studies that may have used different cutoff points to define a positive test result.
The erythrocyte riboflavin cutoff with the greatest sensitivity and specificity for detecting deficiency was determined by ROC analysis, with the EGRAC as the reference value.
Nonetheless, ROC analysis revealed similar RUCs for all tested analytes, irrespective of the cutoff value used.