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In the case of outcome variables with different scales, we will use the standard mean difference with 95% CIs.
Results were presented as the mean difference with 95% confidence intervals.
The results of the multivariable analysis are reported as mean difference with 95%% confidence intervals (CI).
The weighted mean difference with the 95% confidence interval was used to express the comparative treatment effect.
In contrast the effect of region (p = 0.08), although not significant, had a much larger effect size (standardised mean difference) with lower parasite burdens based on faecal egg counts on Northern farms compared to Southern farms.
However, the mean difference with respect to the reference model varies over time, reaching negative values from −60 to −20 µs for the years 2006 2011 and positive values from 80 to 120 µs for the years 2012 2014.
A T-Test of mean difference with a 95% confidence interval indicated the difference between the prediction errors was not statistically significant (confidence interval of (−0.031, 0.017) and p = 0.577).
The time variable mean difference with respect to the changes in DORIS satellite constellation is discussed, as well as the possibility of the bias reduction applying the long-term averages of the cross-track harmonics or adjustment of the geopotential coefficient C20.
A mean difference with 95% CI will be used for continuous data.
We will use the mean difference with 95% CIs for continuous outcomes.
*Figure in each cells indicates he mean difference with reference class value**.
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