Exact(5)
A linear regression model was also used to quantify the proportion of the variance in the measured concentrations explained by the modeled estimates.
We found a significant (p = 0.033) positive relationship between ln[TDCIPP] and ln[BDCIPP], with approximately 39% of the variance in BDCIPP concentrations explained by its relationship with the natural logarithm dust concentration and measured creatinine (Table SI-5).
There is also evidence that incorporating wind direction can greatly improve the amount of variability in pesticide dust concentrations explained by regression models (Nuckols et al. 2008; Riggs 2007).
The proportion of variance in dust hopanes concentrations explained by LUR NO2 was less than 10% in Vancouver, Winnipeg and Toronto while the correlations in Edmonton and Windsor explained 20 to 40% of the variance.
Nonetheless, the amount of variance in U-Cd concexplaineds explained by our mixed-effects regression models (R = 42 44%) is similar to that observed in a study (R = 40%) of nonoccupationally exposed women that used a single measure of creatinine-adjusted U-Cd (McElroy et al. 2007a).
Similar(55)
There was noticeable variation in the nitrogen concentration explained by differences in tidal stage.
Contribution to the variance in signal intensity at each separate target concentration explained by ΔGduplex was explored using the simple linear model presented in equation 2 (see Materials and Methods), replacing %Bound with ΔGduplex.
Each increase in DHCR7/ CYP2R1 allele score was associated with a 1.9 (1.7 to 2.1) nmol/L decrease in plasma 25-hydroxyvitamin D concentration. Figure 2 shows the strength of the genotypes and allele scores as instruments and the variation in plasma 25-hydroxyvitamin D concentration explained by these instruments.
According to the regression analysis, 24% of the variance in measured PCE concentrations was explained by modeled concentrations (p < 0.0001).
The greatest variability in U-Cd concentrations was explained by creatinine concentration (27%) and age (8%).
Importantly, 56% of children's PCB concentrations were explained by maternal serum concentrations during the preconception, prenatal, and postnatal sensitive windows and duration of breast-feeding.
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