Sentence examples for multivariate linear relationships from inspiring English sources

Multivariate linear relationships were assessed by generalized linear regression models.

The multivariate linear relationships, adjusted for maternal age, dietary calcium intake and systolic blood pressure, between maternal blood lead, plasma lead, and breast milk lead are reported in Table 3. Figure 1A suggests a curvilinear association between blood and plasma lead after excluding outliers; however, the association best fit a log-linear model.

There is a multivariate linear relationship between the rheological index and chemical functional groups after the aging freeze-thaw cycle.

We used multivariate linear regression to explore relationships between thyroid hormones and urinary phthalate metabolite concentrations.

For adjustment for the effects of covariates and identification of independent relationships, multivariate linear regression analyses were performed.

Thus, to evaluate for parabolic relationships, multivariate linear regression models with quadratic terms were fit on the dependent variable learning score.

To investigate these relationships, multivariate linear regression techniques have been utilized over the last decade, and have been successful in correlating the signaling of multiple pathways using phosphoproteomic data to phenotypic outcomes including apoptosis, proliferation, invasion, and migration [ 9- 11].

Finally, PC4 largely represented a contrast between infection by gill parasitic copepod sp. 3 and ciliate Trichodina sp. A multivariate linear model of the relationship between these first four factors representing infecting parasite communities and host species, host sex, host standard length and collection site returned R2 values of 0.754, 0.473, 0.178 and 0.010 for PC1 to PC4 respectively.

Therefore, we used univariate and multivariate linear regression analyses to estimate relationships between the PCBs, PBDEs, and thyroid hormone measurements.

After multivariate adjustment, the linear relationship was still present.

In summary, the multivariate linear model provided a possible relationship between the global topological metrics and kinetic scan paths metrics.