Sentences with phrase «roc analysis»

The ROC analysis uses each value across the entire range of the CBCL subscale T - scores as the cut - off for defining a case and compares this classification to the «true» diagnosis, as defined by the structured diagnostic interview.

In a sample of paediatrically referred ADHD probands, ROC analysis indicated that the CBCL Delinquent Behavior and Aggressive Behavior scales best converged with the structured interview derived diagnoses of CD and BPD, the Anxious / Depressed and Aggressive Behavior scales corresponded with major depression, and the Anxious / Depressed and Attention Problem scales corresponded with anxiety disorders.

Our new ROC analysis showed that the Delinquent Behavior and Aggressive Behavior scales were the best predictors of CD.

The area under the curve and 95 % confidence interval from ROC analysis using CBCL scales to predict psychiatric comorbidity in a paediatrically referred ADHD sample (n = 121)

The ROC analysis investigated critical cut - offs for both criteria in each case for all medical fields involved.

A note on ROC analysis and non-parametric estimate of sensitivity.

ROC analyses produced optimum CM sensitivity of 70 %, with specificity 71 % and, for SM, a sensitivity of 77 %, with specificity of 54 %, both occurring at F - diameter of approximately 41.8 mm.

ROC analyses indicated that three of four separation distress symptoms (e.g. yearning, searching, loneliness) had to be endorsed as at least «sometimes true» and four of the final eight traumatic distress symptoms (e.g. numbness, disbelief, distrust, anger, sense of futility about the future) had to be endorsed as at least «mostly true» to yield a sensitivity of 0.93 and a specificity of 0.93 for a diagnosis of traumatic grief.

Finally ROC analyses were performed with two different criteria to recognize specificity and sensitivity of possible cut - offs.

ROC analyses showed adequate diagnostic accuracy of the CPRS - R and the PSDQ in predicting ODD in this ADHD sample.

Not exact matches

The ROC - curve analysis we have carried out should be very familiar to those working in machine classification, and in fact is identical to that which would be performed on the classifications made by a new automated method.

C) Receiver operator characteristic (ROC) curves demonstrate the discriminating power of the select set of proteins that were detected as having statistical differences by ANOVA (p < 0.05) in abundance in the analysis of individual patient samples.

Three analyses were conducted with the cross-sectional data using teachers» WSS ratings of student achievement and students» WJ - R standard scores: a) correlations comparing the students» standard scores on the various subtests of the WJ - R and the WSS checklist and summary report ratings of student achievement within the corresponding WSS domains, b) four - step hierarchical regressions examining the different factors that accounted for the variance in students» spring WJ - R scores, and c) Receiver - Operating - Characteristic (ROC) curves, which make possible a determination of whether a random pair of average and below - average scores on the WJ - R would be ranked correctly in terms of performance on the WSS.

Follow - up receiver operating characteristic (ROC) analysis on sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) was performed in an effort to assess clinical diagnostic relevance.

ROC curve analysis: an example showing the relationships among serum lipid and apolipoprotein concentrations in identifying patients with coronary artery disease

The precision of the best - fitting equations was then evaluated using receiver operating characteristic (ROC) curve analysis.

To identify which scales best discriminate specific comorbidities, we examined the area under the curve (AUC) using receiver operating characteristic (ROC) analysis as described above (see table 2).

ROC and conditional probability analyses revealed that the CBCL performed reasonably well as a screening tool for comorbidity in ADHD children in the primary care setting.

Receiver - operating characteristic (ROC) analysis was used in order to test the diagnostic accuracy of the Conners» Parent Rating Scale revised (CPRS - R) and the parent version of the Strength and Difficulties Questionnaire (PSDQ) in the prediction of ODD in a transnational sample of 1093 subjects aged 5 — 17 years from the International Multicentre ADHD Genetics study.