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V. THE COMMITTEES that James sets up to study variation in treatment do not disband after they have written their initial protocols.
For example, one could now study variation between or within populations quantitatively, rather than simply by estimation or guesswork.
The major source of variation is shown to be within study variation.
In this study, variation of rate of flow of O/W emulsions with pressure drop was studied experimentally, and rheological parameters were calculated.
In the present study, variation in river DOC could be the result of a combined influence of AD inputs, hydrological point discharge, non-point discharge and sewage inputs.
In contrast to studies of variation in the MgPa repeat regions, there has been less effort to study variation in MgPa non-repeat regions and MgPar loci.
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The majority of between-study variation was attributed to studies that defined cases on serology.
Random effects analysis assumes a range of treatment effects and incorporates inter-study variation into the pooled estimate.
We hypothesized that the meta-analysis would reveal a range of correlations for target linguistic domains with significant between-study variation.
The latter reveals the proportion of variability in a meta-analysis that is the result of between-study variation and not error within studies due to random sampling.
Furthermore, (T_{j}^{2}) explicitly models the fact that the true population effect for a certain relation is not unique, but varies across primary studies (between-study variation).
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CEO of Professional Science Editing for Scientists @ prosciediting.com