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There was no evidence that this main effect varied by age, sex, intervention type, or study quality.
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The effects emerged among women but not among men, and the strength of the main effects varied across experiments.
The number of main effects varied from 26 (maturity) to 75 (heading) with an average of 61.86.
Results show that main effects varied across different day moving averages and 24-, 20- and 18-day moving averages were strongest associated with SO4, OC and maximal one-hour O3, respectively, which were used to assess effect modifications.
The number of main effects detected varied from 26 for the maturity trait to 75 for the heading trait, with an average of 61.86.
This effect varied across counties.
The herd size effect varied between seasons.
The ceiling effect varied among the items.
These models thus provide identical inference concerning the presence (or absence) of interactions, however the parameter estimates for the interactions and main genotype effects vary, as the models vary with respect to which genotype categories should be considered as "baseline" and whether the interaction term is modeled as a "compatibility" or "incompatibility" effect.
These analyses supported the independent effect of status change on the treatment outcomes (significance levels for main effect of status change varied from p < 0.01 to p < 0.05).
Estimates of economic effect vary.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com