Sentence examples for negative agreements from inspiring English sources

Kappa, observed, positive, and negative agreements were calculated between observers and measuring occasions.

Positive and negative agreements were assessed for all years pooled together.

Overall agreement, Cohen's kappa, and positive and negative agreements with 95%% confidence intervals (CI) were calculated for enrollment HC2 vs. COBAS results.

For method correlations, overall, positive, and negative agreements between the THxID™-BRAF test and the two other methods (HRM and Sanger sequencing) were also assessed (Table  3).

We showed positive and negative agreements, as these are absolute measures that are more informative, specific and transparent compared with a relative measure like a kappa statistic.

We showed positive and negative agreements, as these are absolute measures that are the most informative, specific and transparent compared with a relative measure such as a κ statistic.

ICU: intensive care unit; ICUAW: ICU-acquired weakness; MRC Medical Research Council MMTmanualnual muscle testing; IQR: interquartile range; p-neg: proportion of negative agreement; p-pos: proportion of positive agreement.

Positive agreement was calculated by the formula p pos   = (2a)/(N + a - d) and negative agreement by p neg   = (2d)/(N – a + d), where N is the number tested, a is the number positive by both tests, and d is the number negative by both tests [ 19].

As another measure of inter-rater reliability, we also calculated Cohen's κ, which corrects for the probability of two raters agreeing due to chance, but includes both negative agreement and positive agreement.

Additional file 3: Additional details describing data analyses; includes further description of Generalised Estimating Equations, Statistical Process Control, Byrt's kappa, Bias and Prevalence Indices, Positive and Negative agreement.

Concordance was assessed by: proportion of observed agreement; Byrt's [23] kappa (measures the relationship between two respondent groups, corrected for bias); prevalence (when one response is more probable than another) and bias (when marginal distributions for the raters are unequal) indices [23]; and proportions of positive and negative agreement [24] (see Additional file 3).