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The first of these is the relative enrichment factor [8], a metric in which the problem associated to the saturation effect is fixed by considering the maximum EF achievable at the cutoff point: REFleft( chi right) = frac{{100 times n_{s} }}{{hbox{min} left( {N times chi,n} right)}} (9).
Under the framework of CRTs, if the treatment effect is fixed and not contained in any random effects, the Containment DDF is calculated by N − K.
The model was rijk = μ + Ai + Dj + Tk + ε ijk where T k is the kth treatment (stage 1-40, 39 d.f ., the Dj effect is fixed (1 d.f).
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Main effects of genetic variation are generally quite low; thus, the R2 for the genetic effect was fixed at 0.001.
These results show that more QTL with a large effect were fixed with BL than with RR, as expected.
The intercept was fixed at 1, and the treatment effect was fixed at 0.3, which is a medium-sized effect (Cohen, 1988).
The R for the environmental effect was fixed at 0.035, and the prevalence of smoking in the environment was fixed at 25%% (Environment; Population Prevalence: 0.25) [ 53].
The lack of fitness gain implies few if any beneficial mutations of large effect were fixed and thus suggests that purifying selection was likely more important here.
This is a mixed-effects model, since some of the effects are fixed and others are random.
In contrast, the analysis in which the block effects are fixed is computationally simpler and less subjective.
When block effects are fixed, the variance of the estimated response surface is not uniquely estimated, and in practice this variance is obtained by ignoring the block effect.
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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