Sentence examples for mean difference when from inspiring English sources

Items 9 and 10 significantly differ due to minimum mean difference when groups 1 and 2 (i.e., domestic and agricultural sectors) are compared.

The mean difference when comparing 3D data and manual measurement was found to be 0.23 mm (shortest distance) and 0.13 (surface).

The effect size was a standardized mean difference when the primary outcome was continuous and a converted odds ratio when dichotomous [ 15].

We will use the weighted mean difference when the pooled studies use the same rating scale or test, and the standardised mean difference, the absolute mean difference divided by the SD, when the studies use different rating scales or tests.

Moreover, it is widely known that the estimated standard deviations are probably unstable in the commonly used effect size measures (such as standardized mean difference) when sample sizes in each group are small.

The use of either the central limit theorem or the bootstrapping method is appropriate to obtain uncertainty around the mean difference when there is a moderate to large sample size (n > 50), even when data are highly skewed [ 25].

For continuous outcomes, we will analyse weighted mean differences, or use standardised mean differences when different measurement scales have been used across studies.

Weighted mean differences were used to pool continuous variables when the same measurement scale was used (for example, heart rate) and standardised mean differences when different scales were used (for example, clinical scores).

Continuous data were analysed using mean differences or standardised mean differences (when scores from different outcome scales were summarised) using the random effects model (with 95% confidence intervals, CI), as this takes into account any differences between studies even if there is no statistically significant heterogeneity.

Effect sizes were calculated and presented in forest plots as mean differences or standardized mean differences when data were available, and when effect sizes for a forest plot could not be calculated the author's data were reported.

Associations between foot deformities, disease activity, and disability were assessed by means of a univariate analysis using X2 test or Fisher's exact tests when the factors were dichotomous; or t-tests were utilized for assessing mean differences when the factors were continuous (data not shown).