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Earlier this year, PLoS One published a vast meta-study looking at data from 192,000 kids in 22 countries.
Through their vast meta-analysis of suitable trials, the authors found that for trials of oral NSAIDs vs. placebo the responder rates were 65.4%and45.9%9% respectively.
Furthermore, the vast literature on meta-heuristics tells us that a promising approach for obtaining high-quality solutions is to couple a local search algorithm with a mechanism to generate initial solutions.
In conclusion, we found that the vast majority of meta-analyses and primary RCTs of psychotherapeutic treatments published in high-impact journals failed to report RA.
Further, presently, the vast majority of meta-analyses are produced as observational by-products of the existing literature; little or no consideration of the overarching (meta-) analysis is made at the design stage of the individual component studies that eventually make up the meta-analysis.
In the vast majority of the meta-analyses reviewed, investigators performed a statistical test for heterogeneity, although only one-third of them estimated its magnitude.
This could cause confusion and duplication in the vast data space of meta-analyses 16 and would suggest potentially wasted effort.
Our findings show that even though the vast majority of the analyzed meta- and synchronous tumors from the same patients are not likely to have originated directly from the preceding tumor they still show remarkably similar expressions profiles.
But in national-scale studies that encompass even a few metrics or meta-metrics, the vast number of landscapes remains, with differences among them remaining difficult to interpret.
Vast scale.
Vast swaths?
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com