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To determine the size and clinical relevance of heterogeneity when detected by means we calculated τ².
To determine the significance of the difference between these means, we calculated p-values using the Welch t-test, followed by correction using the Benjamini Hochberg procedure.
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This means we calculate 20 sets of ( | | Â | | − | | G → | | ), and then calculate their variance.
Assuming alpha and beta errors of 5%and20%0% respectively, and considering the results significant if the severity of disease changed more than 25% of the mean, we calculated the sample size by its formula: 21 persons for each treatment group.
To estimate the air pollutant means we first calculated the daily means for each pollutant, and then calculated the mean pollutant level by location and year.
It means, we should calculate the Nash equilibrium for a 24-h electricity market instead of 1-h market.
For all mean values we calculated the associated 95%% confidence interval (CI), by using the means standard error x 1.96.
For mean scores we calculated 95% confidence intervals.
Secondly, we calculated mean total, mean basic and mean individual costs.
We calculated means for continuous baseline characteristics and frequencies for categorical baseline characteristics.
Therefore, we included only arithmetic mean Hg concentrations, or we calculated arithmetic means based on raw data when reported.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com