Sentence examples for measured variables with from inspiring English sources

The results of an analysis of the correlations between the measured variables, with a particular focus on attitudes towards flipped classroom and its effect on learning and motivation is presented in Table 3.

It should also address the context of physical activity, such as leisure-time, school-based, or weekend physical activity, and potential differences in the association between objective and subjectively measured variables with change in physical activity.

Although this is consistent with the relatively low mortality rate in severe sepsis previously documented in our ICU [ 35], it does mean that the study may have been underpowered to detect associations of measured variables with mortality.

There were no significant differences between the incubation of endothelial cells with non-glycated albumin and glycated albumin, however, there was a general non-significant reduction in measured variables with the incubation of glycated albumin.

Due to this limitation, comprehensive studies of local adaptation should combine methods that assess allele frequency association with measured variables with those that describe extreme population differentiation based on genetic data alone.

Descriptive statistics were performed on measured variables with reported means, standard deviations, medians, and interquartile ranges (IQR) where appropriate.

However, universal guidelines have previously defined ICC estimates of 0.00 0.39, 0.40 0.59, 0.60 0.74, and 0.75 1.00 as poor, fair, good, and excellent, respectively [32], and SEM estimates for acceptable reliability range from 7.5 20% of the measured variable, with 15% being the most common cutoff [33].

A strong PV (a measured variable with a very large fPV) can be considered as a misclassified surrogate for the unmeasured confounder.

When transmission region was included, 15 out of 24 measured variables were associated with anaemia (Table S3).

We measured variables potentially associated with the different quitting methods and that may also have an effect on the outcome.

As some of the variables had high loadings on more than one component (>0.4), we had to eliminate eight of our originally measured variables, resulting in nine variables with simple structure (see Table A2 in the Appendix).