Sentence examples for multivariate models represents from inspiring English sources

Even so, we feel that the current study, which includes the use of risk adjustment and multivariate models, represents an important step in the evaluation of the occurrence of adverse events.

The regression coefficient (B) in each multivariate model represents the mean difference in each DXA variable between groups, adjusted for age, height and mass and other predictor variables.

For this reason the simultaneous quantification of multiple biomarkers, that may include demographic/risk-factor(s), cervical length and biochemical marker(s), and the development of multivariate classification models represent a promising approach to improving diagnostic efficiency.

Among the supervised pattern recognition methods, multivariate class modelling represents a suitable mean for data analysis, whenever a class of interest (i.e., untreated veal calves) has to be mathematically described, for example, on the basis of several biomarkers' values and with no bias from any other classes in the computation of the model.

To estimate within-sex phenotypic covariances among traits, we ran multivariate equivalents of the models represented by Equation 1, where y now represents a matrix of phenotypic observations of all traits measured within each sex and μ is a vector of means for each phenotypic trait.

In general, the variables reflecting total roadway length were more robust and statistically significant in multivariate models than those representing distances to different road classes.

The approach is based on a set of coupled models representing the complete flood risk chain, including a multisite, multivariate weather generator, a hydrological model, a coupled 1D 2D hydrodynamic model and a flood loss model.

In the second column of multivariate models, the β term represents the predicted change in pulse-wave velocity (cm/s) per unit decrease in insulin (μU/mL) and weight (kg) when adjusting for age, sex, race, smoking status, mean arterial pressure, HDL cholesterol, triglycerides, CRP, baseline baPWV and change in mean arterial pressure.

In the third column of multivariate models, the β term represents the predicted change in pulse-wave velocity (cm/s) for a simultaneous decrease in insulin (μU/mL) and weight (kg) when adjusting for age, sex, race, smoking status, mean arterial pressure, HDL cholesterol, triglycerides, CRP, baseline baPWV and change in mean arterial pressure.

In addition, approaches such as multivariate source receptor modeling represent promising avenues for assessing exposure to complex mixtures (Hopke 2010), although further work is needed to account for key sources of uncertainty in such models.

The 2013 model represents year two.