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The stronger associations with DM metabolites for most cognitive measures could be explained by the greater toxicity of some of these OP pesticides.
That we did not find an association between the patient activation level and most healthcare utilization measures, could be explained by differences in the methods used.
Variation in the risk associated with blood measures could be explained by the first type of variation (that is, true population differences) or the third type of variation (differences between centres in the care provided to patients with different blood results).
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Overall, 81% of the variance in the last situational cognitive engagement measure could be explained by the preceding ones.
As previously reported, the higher the arterial PO2 the higher the discrepancy between capillary and arterial blood measures, which could be explained by poor arterialization and excessive venous blood admixture [9].
As previously reported, the higher the arterial PO2 the higher the discrepancy between capillary and arterial blood measures, which could be explained by poor arterialization and excessive venous blood admixture [ 9].
We subsequently performed simulations of children's POP levels for each of the available samples (maternal blood, cord blood, and/or breast milk) and compared simulated with measured POP levels by linear regression to determine how much of the variability in measured blood levels could be explained by the toxicokinetic model based on the coefficient of determination (R).
The low knowledge in preventive measures in this group could be explained through our study sample itself.
The difference between measures after 2 weeks could be explained by a change in the enablement level and may not be due to a difference in measure.
In addition, as protein vs mRNA markers were measured, this low correlation could be explained by post-translational regulation mechanisms or differences in kinetics of expression (mRNA being expressed before the protein).
We showed previously GeneMANIA's results (with the normalization) are strongly affected by node degree, and indeed a substantial fraction of performance as measured by ROC curves could be explained by node degree effects.
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