Sentence examples for by comparing mean differences from inspiring English sources
The criterion validity was examined by comparing mean differences between the AS-group, the PD-group and the C-group.
The differences in accuracy of self-report between the groups were examined by comparing mean differences, intraclass correlations (ICCs), Bland Altman plot with limits of agreement (LOAs) and Cohen's kappa.
Repeatability was measured by comparing mean differences with SD for protein, fat (including SFA), CH, dietary fibre, alcohol and energy from the first and second 3 day dietary record.
Measurement equivalence was compared at the dimension, utility score and visual analogue scale level using chi square analysis and ANOVA, and by comparing mean differences to an estimated minimally important difference value.
Construct validity was assessed by comparing mean differences in FACT-G total and subscale scores according to known groups, i.e. patients performance status, in vs. out-patients and by studying the correlations between the instruments (convergent and discriminant validity).
This was the approach used to compare mean differences by Gwaltney et al. [ 8].
Differences in satisfaction in the two trial arms were analysed by comparing mean CSQ scores using a t test.
The impact of the dawn phenomenon on the overall glucose exposure was quantified by comparing the mean differences in the averaged 24-h mean glucose concentrations and HbA1c levels between the paired subsets of subjects who were matched for glucose nadir and separated according to the presence or absence of dawn phenomenon.
The effects of two treatments on PCV were evaluated by comparing weighted mean differences (WMDs) in the change of LogMar visual acuity, central retinal thickness (CRT), and the deterioration ratio for the proportions of patients with visual reductions from the baseline.
The before and after evaluations were conducted by comparing the mean differences (including the estimate of the 95percentnt confidence intervals (CI)) of the outcome variables using the paired-sample t-test.
Across the neuronal population, we tested whether this difference was significantly greater than zero, by comparing the mean difference to that of a null distribution, generated by randomly sign-flipping each neuron's effect and averaging across this permuted data.
