Sentence examples for measuring concordance between from inspiring English sources

Kappa statistics were used for the measuring concordance between LQ and LA.

We describe a novel method for measuring concordance between patients' most preferred treatments and physicians' recommended treatments and for assessing the association of concordance with treatment outcomes.

Aside from measuring concordance between NGS data and array data, the ratio of transitions (pyrimidine-pyrimidine or purine-purine mutations) to transversions (pyrimidine-purine or purine-pyrimidine mutations; Ti/Tv ratio) can be used as a convenient diagnostic to measure the quality of NGS data (e.g. [ 7, 21]).

We measured concordance between the two methods in individual risk stratification by the weighted κ statistic.

This study sought to measure concordance between physician-rated health and an objective health measure, and assess both measures' validity in predicting death.

The primary aim of this study was to measure concordance between medical records and linked administrative health data for recording diabetes in CHD patients, and to assess temporal differences in concordance.

The percentage agreement between capillary and venous blood for the CareStart test and the FST was calculated and compared using Cohen's κ-coefficient to measure concordance between the two tests.

To see to what extent the methylation patterns distinguished here might reflect the cellular origins of the studied tumours, we computed overall scores of these three gene expression signatures for each of the six methylation clusters described above; this being an effective way to measure concordance between sample profiles and subpopulation signature profiles.

Kappa statistics were used to measure concordance between TST and QFT-G and classified as follows: κ ≤0 = no agreement; 0 < κ ≤0.2 = poor agreement; 0.2 < κ ≤0.4 = fair agreement; 0.4 < κ ≤0.6 = moderate agreement; 0.6 < κ ≤0.8 = substantial agreement; 0.8 < κ ≤1.0 = optimal agreement.

A quality decision, the ultimate goal of PtDAs, is ideally measured by using patient's score on the knowledge test as an indicator of being informed, and measuring the concordance between the informed patient's values for outcomes of options and the actual choice of surgery (or non-surgery) [ 25, 31].

Consequently, our principal aim was to measure the concordance between physician-rated health and an objective health measure and, in particular, to provide evidence of a specific aspect of discordance, namely, the overrating of health in an institutionalized older population.