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The linear mixed model revealed that, in general, the performance of the N model changed depending on the spatial scale of interest.
The linear mixed model revealed that the different types of brackets had different effects on friction (Figure 7).
The mixed model revealed that the plasma contents of EPA and DHA were strongly correlated with the plasma long chain TG, cholesterol ester and lysoPC with EPA bound (ChoE(20 5) and lysoPC 20 5)), and with specific phosphatidylcholines (Table 5).
The linear mixed model revealed significant main effects for test day, sex and group for walking speed (P <.001 for all).
The linear mixed model revealed significant main effects for test day, sex and group for symmetry index (P <.039 for all).
The linear mixed model revealed significant main effects for test day, sex and group for autocorrelation coefficients for P1 (P <.028 for all).
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Modeling of the fluxes using linear mixed models revealed that ammonium in the groundwater was the only tested variable having a significant effect on N2O fluxes.
Generalized linear mixed models revealed that C. villosus is more active mainly in the Inland Pampas and in cropland plots, whereas, D. hybridus is more active in the Flooding Pampas at plots with active livestock use.
Multilevel mixed models revealed only weak variation at the cohort-level in either response variable; hatching success and fledging success accounted for none or less than 2% of the total variation in trip-durations made during the incubation and early chick stages, respectively.
Further analysis using univariate mixed models revealed the same pattern results across the probesets but with increased significance.
Logistic mixed modeling revealed that exposure to chronic depression within the first two years of life was associated with a decreased weight-for-length z-score (Coef −0.43, 95%CI −0.89 0.02) compared with no exposure or exposure only episodically (Table 3).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com