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The weighted mean treatment effect was calculated using random-effect models, where trials were weighted by the inverse variance for the standardized performance change.
Sensitivity analyses were performed by removing individual trials and examining the effect of each study on the results of the weighted mean treatment effect.
The weighted mean treatment effect summary indicates fluid intake following a period of dehydration significantly improved continuous exercise performance (g = 0.46, 95% CI 0.32, 0.61) (Fig. 3).
The relative effect presents (in a scale between 0 and 1, and according to a probability) the specific treatment effect of the regarded group, relative to all groups, therefore to a "mean" treatment effect.
The mean treatment effect showed substantial increase in volume productivity for the control compared with the residue-removed treatment of 19 m3 ha− 1 and 28 m3 ha− 1 in the F1R and F2R respectively (Table 3b).
The relative effect presents (in a scale between 0 and 1, according to a probability) the specific treatment effect of the regarded group, relative to all groups, therefore to a "mean" treatment effect.
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For one of the five outcome categories (weekly hours), statistically significant differences in mean treatment effects were observed between studies according to gender (Qb = 10.1; p = 0.00151).
The main treatments were not statistically significant on every site (Table 3a) but the absolute treatment responses were similar (Table 3b), resulting in significant responses in the mean treatment effects across the sites (Table 3a).
These data are also used to estimate mean treatment effects for hyperlipidemia and hypertension medications.
The literature on HTE of the impact of welfare reform has focused on mean treatment effects across demographic subgroups.
Ideally, if comparing mean treatment effects with Student's t-test, the difference between means should have an unambiguous clinical interpretation, regardless of the particular mean values.
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