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All macular parameters were consistently positively correlated with age and most were positively correlated with SE (Table 3).When controlling for axial length, correlation with SE was lost and only the positive correlation of the inner circle macular thicknesses with age persisted.
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Figure 7 A comparison between the spread and recognition-derived length correlations with depression rating.
The length correlation along with a corrected version of the Nicklin (1962) correlation is used as an input into a developed mechanistic model, which is able to predict the pressure drops along the slug unit.
For both studies, weight and age were highly correlated with length (correlation coefficients ≥ 0.80), so these were excluded from the analyses.
Spread correlations are marked with a cross; recognition-based length correlations are marked with a circle.
When controlling for axial length, the correlation with SE remained significant for average RNFL thickness but not for quadrant thicknesses.
As expected, LB ratio showed a significant positive association with grain length and negative correlation with grain breadth.
We also found that gene size, CDS length, first intron length, average intron length, and total intron length showed significantly negative correlation with expression breadth with high regression coefficient (see Figure 3a-e).
Regression analyses demonstrated that gene sizes, CDS length, first intron length, average intron length, and total intron length showed significantly negative correlation with expression breadth with high regression coefficient (see Figure 3a-e).
The infectivity was plotted against the predicted length demonstrating a striking correlation with CD4D1D2-linker length; longer linkers support higher infectivity.
For word length, the factor scores' correlation with the actual word length was.90. Figure 3 plots these correlations.
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