Sentence examples for variability of qualitative from inspiring English sources

Exact(2)

On the other hand, the variability of qualitative approaches can lead to questions around validity and utility of findings.

Interobserver variability of qualitative polarization-sensitive OCT results was tested using κ statistics and by calculating percentage of agreement.

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Interrater variability of the qualitative findings was assessed using kappa statistics.

With our small sample size, success rate estimates of qualitative variables have a high variability; statistically significant results or strict dose-response patterns cannot be expected for qualitative parameters such as remission or mucosal healing.

Technological approaches, however, are often designed to use the whole speech signal without taking into account the qualitative variability of the spectral content.

Despite the qualitative variability of stiffness within and adjacent to a given malignancy on a single acquisition, quantitative assessment of maximum and median elasticity were highly reliable across multiple SWE acquisitions.

Lastly, we explored the variability of the Wolfe and Tabár qualitative pattern-based classifications with respect to the six categories of the Boyd semiquantitative scale.

The extent of the enzyme activity, interindividual variability, the properties of the cancer enzyme, and the occurrence of qualitative and quantitative differences on the enzyme activity between healthy and cancer tissues were studied.

In this type of qualitative study there are usually 15 20 respondents and variability among respondents is important for achieving reliable data [ 22].

However, high inter-subject variability in quantitative results coupled with failure of reversion to negative of qualitative results in most subjects at treatment completion may limit the utility of this assay as a surrogate marker for treatment efficacy.

The differences in predictability of bias direction and the prevalence of high risk phenotype in normal tissue between the PAM50 and the other predictors can be explained by qualitative differences in variability of each gene set across normal samples.

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