Sentence examples for using the optimal cut-offs from inspiring English sources
Using the optimal cut-offs of the rating scales, the suicide victims were clustered, having high ratings in both scales.
Using the optimal cut-offs identified, the prediction models were more sensitive at picking up proven MODY cases (539/594 [91% sensitivity]), with similar specificity (560/597 [94%]), correctly classifying more patients overall (92% vs 81%, p < 0.0001).
Using the optimal cut-offs, the probability models improved the sensitivity (91% vs 72%) and specificity (94% vs 91%) for identifying MODY compared with standard criteria of diagnosis <25 years and an affected parent.
Using the optimal cut-off values determined in the ROC analyses, we found this to be the case, and the two parameters also gave additional prognostic information to that supplied by the tumour stage and the Gleason score.
The associated ROC curve gave an ROC-AUC of 0.87 (95% CI 0.75 0.99), P=0.0002; using the optimal cut-off the sensitivity was 70%, specificity 92% and accuracy 82%.
Using the optimal cut-off value selected by the used ANN software, this combined classifier achieved a sensitivity of 0.97 and a specificity of 0.80.
Sensitivity was calculated to 80.5% and specificity 66.2% using the optimal cut-off level for defining a positive diagnosis, as determined by using the ROC curve.
PPV is the probability that depressed workers identified using the optimal cut-off score are cases according to the M.I.N.I.
Most of the cases were late-onset sepsis and, in this population, elevated CD64 expression demonstrated a sensitivity of 75% and a specificity of 77%, using the optimal cut-off 68.
Perceived response, defined as a reduction of at least 50% of the baseline MADRS-S score, and perceived remission, defined using the optimal cut-off value of 5 found in the ROC analysis, were also significantly in favour of escitalopram.
Furthermore, using the optimal cut-off of a receiver operating characteristic (ROC) curve based on CV1, the area under curve (ROC-AUC), sensitivities and specificities were also estimated (SPSS vers20).
