While the wetting drying cycles had a detrimental effect on the compressive strength and P-wave velocity of the soil samples, these effects varied with gypsum content.
When nuisance factors are included in the model and the number of data points in some classes is very low, it might happen that in some bootstrap samples these effects are not estimable or estimated poorly.
If the contribution of a given mutational MTMM dominates the SAMMs of two different samples, these effects will tend to cancel each other out and other SBSs that populate different elements of the SAMMs will determine their relative distance.
First, the population under surveillance during the pandemic was relatively small because of phased enrollment during the initial study implementation and not all febrile ARI case-patients could be sampled; these effects were corrected by using the person-time method for calculating IRs.
Probably due to the small sample size, these effects were not significant compared to the control group.
However, in contrast to the medium to large effects that were significant with the current sample size, these effects would be rather small and consequently less meaningful.
This is partly because of the reduction in residuals when using all regressors together, a factor which benefits the short TR more than the long TR data, with some group-ICA components (and hence the final regressors) modelling some physiological noise processes with better sampling of these effects at lower TR.
Finally, although we have demonstrated the differential effect between rumination and distraction on dysphoric affect, we were unable to replicate the findings from adult samples that these effects on mood are dependent on the pre-existing level of depressive symptoms.
The standard DGT equation (eq 1) implicitly corrects for the flux decrease induced by the diffusive boundary layer (DBL) and the flux increase due to lateral diffusion inside the DGT sampler as these effects tend to cancel each other under defined conditions.
The effect sizes in the studies that were carried out, indeed, are assumed to represent a random sample of these effect sizes; hence the term random effects is used since there is an array of true effects.
