Receiver Operating Characteristic (ROC) Curve analysis is an important statistical method used to estimate the discriminatory performance of a novel diagnostic test, identify the optimal cut-off value for a test that maximizes sensitivity and specificity, and evaluate the predictive value of a certain ...
The ROC curve analysis showed that the CONUT cut-off value was 3.5. Thus, 81 (40.1%) patients were in the low CONUT group, with a score less than 3.5, and 121 (59.9%) were in the high CONUT group, with a score greater than 3.5. Table 1 Baseline characteristics of all the patients...
. The immunohistochemical cut-off for high or low expression of the indicated molecule was determined based on the ROC curve analysis. The sensitivity and specificity for discriminating dead or alive was plotted as the IHC score, thus generating a ROC curve. The cut-off value was established as...
采用超声E-cervix技术评估宫颈机能,根据早产情况分为早产组和足月产组,比较两组一般资料、宫颈长度(CL)、弹性对比指数(ECI)、宫颈外口应变率(EOS)、宫颈内口应变率(IOS)、宫颈内外口应变比值(IOS/EOS)、硬度比值(HR),采用多因素Logistic回归方程分析早产的相关影响因素,采用受试者工作特征曲线(ROC)分析超声E-...
aThe resulting curve is called the ROC curve. A ROC curve illustrates the tradeoff available with a given model, in which a point is recorded for a different cost and class distribution. 发生的曲线称ROC曲线。 ROC曲线说明交易可利用与一个特定模型,点为不同的费用和类发行被记录。 [translate] ...
Learning Decision Trees Using the Area Under the ROC Curve ROC analysis is increasingly being recognised as an important tool for evaluation and comparison of classifiers when the operating characteristics (i.e. class distribution and cost parameters) are not known at training time. Usually, eac.....
The ROC curve analysis for distinguishing SS and snSS based on sB2M showed an area under the curve of 0.661 (95% confidence interval [CI]: 0.590-0.728, p=0.0001) with an optimal cutoff value of 0.582 ng/mL (Figure lb). Beta-2 Microglobulin in Whole Unstimulated Saliva Can Effectively Dis...
Laboratory medicine has been slow to adopt the use of ROC curves for the analysis of diagnostic test performance. In this tutorial, we discuss the advantages and limitations of the ROC curve for clinical decision making in laboratory medicine. We demonstrate the construction and statistical uses of...
RECEIVER OPERATING CHARACTERISTIC (ROC) CURVE ANALYSIS OF THE TUMOUR MARKERS CEA, CA 19.9 AND CA 195 IN GASTROINTESTINAL CANCERS : RESULTS FROM A RETR OSPE... H Larbre,S Theobald,A Daver,... - 《Journal of Tumor Marker Oncology》
The ROC curve analysis showed PAC at screening among each of predictors for the diagnostic tests and PAC after the saline-loading test had the highest diagnostic abilities of APA. Patients with IHA were older and had glucose intolerance and increased U-Alb/gCre and resistive indices. In ...