Sentence examples for multivariate model each from inspiring English sources

For multivariate model, each SNP together with all available relevant covariates (multivariate model) were included using the Enter algorithm (Forced Entry).

**** Model score based on the family characteristics included in the multivariate model, each characteristic present yields one point.

It is important to highlight that, in this multivariate model, each gene may depend not only on its own past values, but, also, on the past values of the other genes.

In order to be maintained as a confounder in the multivariate model, each variable had to be associated with the outcome at a 5% level of significance (p < 0.05) and/or alter the effect of SRH on mortality by at least 20%.

We then built different multivariate models, each consisting of 3 variables (24 h urinary excretion of PCS and 2 other variables) (Table  5).

We then fit a series of multivariate models each with one secondary explanatory variable removed, always noting the value of the β coefficient associated with incarceration.

In multivariate models, each additional amalgam surface present was associated with a 9% increase in current U-Hg, and each additional posterior occlusal surface-year was associated with a 3% increase in cumulative U-Hg excretion (p < 0.001).

Unfortunately, the QoL subscales were only analyzed separately in different multivariate models, each including several clinical factors and one QoL subscale, therefore the possible interrelationship between the QoL subscales remains unclear.

To further assess the combined effects of both markers, we generated an equation, combined risk score = exp [ 0.054 x log square transformed values of lipocalin-2) + (0.024 x log square transformed values of MMP-9 ] MMP-9 ]on the linear regression model using the coefficients of each marker determined basede multivariate monel including each marker (contheuous) and adjustment variablinear

Table 2 shows the results of Cox's regression analysis from the univariate models for the separate effects of each of NPI, age and detection on survival, and the multivariate model with each factor adjusted for the two others.

Significant predictors were entered into a final multivariate model for each distress measure.