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Is this an important difference in terms of population drinking problems, and therefore policy relevant, or is it a trivial effect of no policy relevance at all?
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The clustering threshold has a trivial effect on the proportion of reftigs annotated and the number of osmoregulatory candidates recovered.
The assumption has a trivial effect on the estimate of the oxygen use in the conversion of blood protein into ATP.
The results from our simulation experiments show that the estimation error has only a trivial effect on the performance of scheduling policies, and imply that the variation of actual processing time has a more important effect than the estimation error of processing time.
As reported in [25], increasing the entropy per dimension has a trivial effect on discretization performance through the employment of LSSC, with the condition that the quantity of quantization intervals constructed in each dimension is not too few.
Moreover, previous research found that varying the time frame for measurement of comorbidity had a trivial effect on predictive performance [ 48, 49].
Re-running the outcomes analysis without the open files had a trivial effect on model parameters.
According to Cohen's thresholds [ 26], an effect size of <0.20 indicates a trivial effect, an ES of ≥0.20 to <0.50 a small effect, an ES of ≥0.50 to <0.80 a moderate effect and an ES of ≥0.80 a large effect.
According to Cohen's thresholds [ 31] an ES of < 0.20 indicates a trivial effect, an ES of ≥ 0.20 to < 0.50 a small effect, an ES of ≥ 0.50 to < 0.80 a moderate effect and an ES ≥ 0.80 a large effect.
Overall, respondents found that the scenic impacts were very large (Hedges g < 1.1), while the effect of the change on enjoyment was so small that it is difficult to distinguish (0.2 < g < 0.5), and respondents say that the change will have a trivial effect (g < 0.2) on their continued use of the scenic resource where they were surveyed.
25 For the QLQ-C30 Global health status/QoL scale, a mean difference of 0 4 points represents a trivial effect, 4 10 point difference represents a small but clinically important effect and a 10 15 difference represents a moderate 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