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(2-tailed) 95% confidence interval Mean difference Mean Std.
In Table 2, are shown the values of the mean difference (MEAN), the SD of the difference, and the agreement limits of the Bland and Altman plots.
A total of 12 least-square means tests with their respective mean difference (Mean diff), standard errors and p-values are reported.
Taking all mean differences as positive differences, the fixed effects pooled standardized mean difference (mean difference standardised by the SD) of the 307 estimates was 0.037 (95 % CI 0.03 to 0.04).
Now, define effect size, as used by McCann et al. (2007) and typically in the psychological literature, in terms of the standardized mean difference: (mean 1 – mean 2) ÷ (pooled SD).
The Bland and Altman method was used to quantify agreement, by calculating the mean difference (Mean Δ) between the two measurements and the standard deviation (SD) of this difference [ 10].
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Descriptive analyses were performed by the calculation of means, mean differences (mean diffs), and proportions.
Mean and mean differences (mean diff), Standard Error (SE) and 95% Confidence Interval (95% CI).
Measured and assessed PTPinsp correlated well (R2 = 0.93 and 0.89) and had small mean differences (mean ± 2SD = 1.78 ± 3.81 and 0.27 ± 4.80 cmH2O.second).
Puchner et al. [ 10] reported significant correlation (r = 0.86; P < 0.01) between automated and manual methodologies with no observable systematic bias in the mean differences (mean difference 0.023 ± 0.034 mm).
Expressed as mean differences (mean difference = SMD × pooled SD), the modest SMD increases in TG of ∼0.17 0.23 mmol/l and decreases in total cholesterol of ∼−0.17 to −0.29 mmol/l were dependent on specific trial conditions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com