Sentence examples for using proportion of from inspiring English sources

This research presents an approach to optimizing correlated multiple quality characteristics by using proportion of quality loss reduction and principal component analysis.

In addition, it was unclear whether there is a need to make sure the number of items is the same for different association relationships, given the possibility of using proportion of correct responses (*Qian and Schedl 2004) and/or scoring methods to create a "balance" between them.

The results reveal the advantages of this approach in that the optimal parameter design using proportion of quality loss reduction is the same as that using the Taguchi traditional method for one quality characteristic; the chosen optimal design is robust for optimizing correlated multiple quality characteristics.

Using proportion of variance explained as a measure of goodness of fit of the models, the linear least squares analyses produced the best fit and was therefore presented in this paper.

Adherence was measured using proportion of days covered (PDC), with PDC ≥ 0.80 considered adherent.

Adherence to ULT among prevalent gout patients was measured using proportion of days covered (PDC) to represent the degree of prescription-filling in a given interval specified.

Sullivan et al. (2005) proposed that the design displacement profile be set as a function of the moment profile in the walls, using proportions of strength assigned at the start of the design procedure.

The p-values of Fisher's exact tests were calculated using proportions of PDAC cells and ducts that expressed high levels of proteins [see Additional file 3].

Unlike the original study [8] that used proportion of correct classifications as the performance metric, we employed area under the ROC curve (AUC) that has more power to detect predictive signal of SNPs [23] [25].

Ebscov et al used proportion of patients with contractures and Rives et al only gave percentage improvement.

This metric has larger statistical power to detect predictive signal than the commonly used proportion of misclassifications [ 37].