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The 95% CI on fitted effect sizes were derived and the differences between the effect sizes were tested using bootstrapping methods that are robust, conservative, and require fewer assumptions than classical methods[47].
The 95% confidence interval (CI) on fitted effects were derived and the differences between the effect sizes were tested using bootstrapping methods that are robust, conservative, and require few assumptions relative to classical meta-analytic methods [43].
We calculated rank order correlation (Spearman's rho) between the effect sizes and the overall sample size.
This may explain the difference between the effect sizes for LDX treatment observed in these subdomains (1.222 and 0.562, respectively).
Specifically, we assessed the relationship between the effect sizes observed within each trial against its i) mean age; ii) mean baseline oxygen saturation; and iii) severity classification.
Moreover, we observed a correlation of 0.58 between the effect sizes of the interactions in both datasets (p-value = 5.9 × 10−24), with 202 of the 246 interactions sharing the same direction of effect (p-value = 2.2 × 10−25).
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The difference between the effect size observed in the RILs and the NILs could have a number of explanations.
There was evidence of heterogeneity between the effect size estimates in the first trimester smokers and continued smokers (P = 0.035; Fig. 1B).
This assumes a linear trend between the effect size and its variance (rather than its standard error, as assumed in the original Egger's test).
The consistency of the network was determined by use of inconsistency factors: the estimated difference between the effect size from direct comparisons within randomised trials and the effect size from indirect comparisons between randomised trials with one intervention in common.
There was no relationship between the dose of β-alanine administered and the difference between the effect size of the BA and Pla groups seen in the exercise measures (P = 0.337).
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