Firstly, in BAYESCAN FST is modelled using a logistic regression model implementing a locus effect and a population effect, while simulations in FDIST2 are based on an Island Model.
Accordingly, each individual subject's data for each condition of interest, both within and across feeding conditions, were summarized with one parametric map (accounting for within subject variance), and then assessed across subjects (accounting for between subject variance), thereby implementing a random effects model.
The confidence intervals tend to be wider especially when implementing a random-effects model, and the statistical significance is more likely to be lost.
If various other activities designed to improve productivity implemented in response to market discipline are also taken into account, the effect of implementing an EMS is hidden by the effects of these activities.
For the network meta-analysis we implemented a class effect model where each treatment effect in the same class is assumed to come from a family of treatment effects with a class specific mean effect and between treatment variability within class (assumed equal across all classes).
Second, we implemented a hierarchical effect decomposition strategy to examine by which variables the effect of the intervention had been mediated.
To assess the effect of implementing an emergency surgery track for testicular torsion transfers.
However, in the context of this relationship, the direct effect of implementing an EMS on productivity is conditional.
One effect of implementing an e-health system is to draw attention to current working processes, which become more visible and open to scrutiny.
As a result of this, although ancestry adjustments were not implemented, a confounder effect due to the presence of population stratification in this study would be minimal.
