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Valid comparison of hazards ratios (HRs) for different continuous measures requires that the units of both variables to be comparable.
The Spearman correlation coefficient between elevated HbA1c and IFG was 0.31 (P < 0.001), allowing both variables to be included in the same model.
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This allows both of the primary variables to be constructed independently of the phase status and allows the appearance and disappearance of any of the two phases.
LMMs allow both fixed and random variables to be fitted to a model.
An FAMG also enables both categorical and quantitative variables to be considered in the analysis.
We note that both θ and Z are variables to be inferred, with θ the main object of interest.
This method also allows both the independent and dependent variables to be matrices rather than single vectors, so only two models (v.i).
As a result, there are two variables to be analysed, both of which can only take on the values zero and one.
As a result, both variables need to be assessed to ensure high-quality compost is produced.
Because there were two co-primary endpoints, the null hypotheses for both variables had to be rejected at the same significance level (α = 0·05).
Both variables ceased to be density-dependent at higher densities and were best explained by an inverse-function density-dependent model with a saturation value of +- 6 females/population.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com