The maximum and the minimum cost improvement is 23.90 % (under β-CUSUM) and 13.54 % (under the Meta-algorithm), respectively.
Mean exercise doses, mean age, and mean baseline gait speed were compared, between the interventions with a post-intervention gait speed under the meta-effect, and the ones above the meta-effect.
If we make the equivalence of countries to studies or centres, the typical study units in traditional meta-analyses, we can run comparisons between countries under the meta-analysis framework.
In contrast, under the meta-population migrant-pool model, low genetic differentiation among populations should result if extinct patches are colonised by many migrants from a larger number of source populations [ 18, 19].
Although bleeding was reported as an adverse event in 7 of the 12 studies under the meta-analysis, in none of them was it found to be more frequent in the anticoagulant group compared with the control group.
We have chosen the odds ratios between the two surveys to inform the underlying relationship between them and to allow comparisons between the countries under the meta-regression framework.
Thus, under-investment into the meta-organization's project is the most likely case.
Or, to put it differently, the latent opportunism of under-investment in the meta-organization's specific assets becomes counter-weighed by the latent monitoring of the arbitrator.
This implies that when heterogeneity is present, even a very large new study may have very little (even zero – see below) power to change statistical inferences in a meta-analysis since its allocated weight will be relatively small, and inevitably under-powered in the meta-analysis framework (even though it could have considerable power when analysed on its own).
In order to establish the potential role of the (meta)secretome under bioleaching process conditions, several bioleaching assays were carried out with five times (5×) concentrated secreted proteins as additives.
ORs and GC-corrected standard errors were then combined in a meta-analysis under fixed- and random-effects inverse variance models using the metagen function from the meta package in R [ 16].
