Sentence examples for using the multivariate regression from inspiring English sources

Regional equations were developed using the multivariate regression technique.

The correlation models between the purification effects of total nitrogen, total phosphorus and COD and their influencing factors are established using the multivariate regression method.

* P value < 0.05 DIC, disseminated intravascular coagulation The age-related clinical confounders shown in Table 3 were analyzed further using the multivariate regression model for mortality risk.

The ex-smokers showed a higher risk of incident metabolic syndrome than the sustained smokers when using the multivariate regression models excluding weight change, but this finding was no longer significant after including weight changes.

Using the multivariate regression models, we found that co-morbidities were associated both with general and respiratory specific HRQoL, the strongest effects being observed for psychiatric conditions that needed regular medications and alcohol abuse.

Shape changes in landmark data associated with body size (the allometric shape vector) were described using the multivariate regression vector obtained from multivariate regressions (multivariate ordinary least squares [OLS] models) of the Procrustes shape variables on ln(CS) [ 15, 17, 44].

Gulston and co-workers [ 49] used the multivariate regression technique prediction to latent structures by partial least squares (PLS) to regress proteomic changes by DIGE in order to investigate age-related changes in heart tissue of the mdx mouse.

We used the multivariate regression model developed in our previous study (Vandentorren et al. 2006).

Using the multivariate logistic regression model of Eq. 3, we estimate the correlation between a number of features and the unfollow probability.

Both results were confirmed using the multivariate Cox regression model.

Then, a gene ranking was performed using the multivariate Cox regression p-values.