Sentences with phrase «receiver operating characteristic»

Results from receiver operating characteristic curves indicated that the SDQ was relatively accurate in identifying changes in CBCL diagnostic cases, with overlap across corresponding problem behavior domains ranging from 68 to 81 %.

Diagnostic accuracy of the Child Behavior Checklist scales for attention deficit hyperactivity disorder: A receiver operating characteristic analysis

Receiver Operating Characteristic analysis indicated that the DERS limited access to emotion regulation strategies subscale score has moderate diagnostic accuracy in detecting the presence of NSSI.

We used a receiver operating characteristic (ROC) curve to assess the ability of each CBCL subscale to identify each comorbid condition.

Convergent validity was assessed by calculating correlations between the parent completed SDQ and the parent completed PSQ, Discriminant validity was assessed by comparing 47 subjects from the normative sample with 47 age and gender matched ADHD outpatients using receiver operating characteristic (ROC) curves employing area under the curve (AUC) as an index of discriminant ability.

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).

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

Receiver operating characteristic curves and the area under the curves (AUC) for the Composite International Diagnostic Interview Short - Form (CIDI - SF), the K10 and K6 screening scales, and the World Health Organization Disability Assessment Schedule (WHO - DAS) as well as for illustrative multivariate prediction equations.

The first was the area under the receiver operating characteristic curve [65] modified for use with a presence only test data [30].

The next column lists the area under the receiver operating characteristic curve (AUC) evaluation statistic which ranges from 0.5 to 1.

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.

Statistical evaluation of the relationship between two sets of data is typically done with one of two main methods: (a) correlation, or (b) «Receiver Operating Characteristic» (ROC) Curve.

However, samtools yielded better results, translating into a larger area under curve (AUC) in the receiver operating characteristic (ROC) curves comparing with the Affymetrix SNP6 array.

Receiver operating characteristic curves were used to derive optimal WC cut - points for detecting the presence of at least two components of metabolic syndrome (MS), excluding WC.

Receiver operating characteristic (ROC) curves were computed using coverage at the SNP position as the independent variable.

We constructed classifiers to distinguish between the baseline and post-intervention states (Supplementary Methods) and achieved prediction accuracies of 96 % for the vacation effect (area under the receiver operating characteristic curve, or AUROC, equal to 0.98) and 85 % for the meditation effect (AUROC = 0.93; Supplementary Figure S1), supporting the potential for blood - based wellness biomarkers.

Thus, as the inflammatory cascade progresses from nonatrophic gastritis through the atrophic gastritis — intestinal metaplasia — neoplastic spectrum, it was found that these 5 specific markers were statistically significant in predicting precancerous lesions in comparison to traditional risk factors (receiver operating characteristic, 0.803 vs 0.580).70 As discussed previously, intestinal - type gastric cancer is more strongly associated with the atrophic gastritis and intestinal metaplasia cascade, thus explaining the closer correlation with intestinal - type gastric cancer and the serologic biopsy than diffuse - type gastric cancer.

The researchers also tested their prediction models on the validation set, and this resulted in ROC (receiver operating characteristic) plot points with an AUC (area under the curve) of 91.6 percent for general responsiveness, 89.7 percent for TNFi response and 85.7 percent for rituximab response.

(68) Ga - DOTATATE mTBRmax predicted high - risk coronary computed tomography features (receiver operating characteristics area under the curve [ROC AUC]: 0.86; 95 % CI: 0.80 to 0.92; p < 0.0001), and correlated with Framingham risk score (r = 0.53; 95 % CI: 0.32 to 0.69; p < 0.0001) and -LSB-(18) F] FDG uptake (r = 0.73; 95 % CI: 0.64 to 0.81; p < 0.0001).

Not exact matches

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.

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.