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Nevertheless, results of the linear mixed model showed that significant positive associations between Vcop and WEcop were found only in dual task (R ≥ 0.67, p ≤ 0.012).
Analyses using a linear model and a generalised linear mixed model showed statistically significant relationships between perceived naturalness of landscapes and their aesthetic ratings, and among ratings of perceived naturalness and ecological integrity and morphological condition.
The mixed model showed least deviation of observed P-values from expected P-values in Q-Q plot when compared with that of Q (population structure) or K (kinship) model only.
A three-way mixed model showed no significant effect of the T-implantations on body mass (t33 = −0.54, pa = 0.9), nor a significant three-way interaction effect between T-treatment, Caro-treatment and period (F1,33 = 0.38, p = 0.5).
The results obtained with the mixed model showed a significant interaction between covariates (P = 0.039).
Our linear mixed model showed that family size only explains a very small proportion of the variability in PD across the body sites (Table 2).
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The fitted linear mixed model shows a negative association between % PVF in less-lame limb and more-lame limb (β1<0, p-value=0.010).
The fitted linear mixed model shows a negative association between % PVF in less-lame limb and more-lame limb (β1 = 0, p-value = 0.015).
The linear mixed model shown in Figure 2 uses speed-binned data (0.05 m/s speed bins) from the FR paw, with a minimum stride count criterion of 5 strides per bin.
The results of proportional odds mixed models showed that some pests responded to local crop management: leaf blotch incidence and aphid density were significantly lower while weed diversity and abundance were higher in organic fields.
Linear mixed modeling showed both the intervention and usual care groups had fewer medication management problems as measured by the MedMaIDE (F = 6.91, p <.01) and MDC (F = 9.72, p <.01) at 2 months post-intervention.
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