Sentence examples for median differences and from inspiring English sources

For each pair of different prioritization method, we computed five different measures: two unstandardized (i) mean and (ii) median differences; and three standardized (iii) Cohen's d (Cohen 1977), (iv) Hedges' g (Hedges 1981), and (v) Vargha-Delaney's  12 (Vargha and Delaney 2000).

Outcome measures were analyzed for statistical significance using Wilcoxon test for P values, the Hodges-Lehmann estimates for median differences, and 95% confidence intervals (CIs).

Median differences and their 95% confidence intervals are also quoted.

Median differences and their 95% CI are also reported.

Median differences and their 95% confidence intervals (CI) were determined by exact Hodges Lehmann estimation.

Median differences and their 95% confidence intervals (CI) were calculated by exact Hodges Lehmann estimation.

Bias was defined as the median difference and the median absolute difference as well.

In cases of non Gaussian statistical distribution, the median difference and non parametric Hodges-Lehman 95% CI are shown.

For statistical analysis, the median difference and the corresponding CI for the median difference for each migration and clinical parameter was calculated as described by Campbell and Gardner (1988).

For non-parametric data it included the Wilcoxon signed rank test for within-arm comparisons of median difference and the Kruskal-Wallis test for between arm comparisons of median difference.

Note: The median difference and confidence intervals between patient and control groups was calculated using the Hodges-Lehmann estimator for ΔΔCt values, and a 2-ΔΔCt transformation to generate relative quantities.