Sentence examples for multivariate multiple linear from inspiring English sources

A multivariate multiple linear regression (MMLR) analysis was applied to determine the relationship between environmental and mobility measurements.

In another work, Eyvazian et al. (2011) proposed a method based on the likelihood ratio approach to estimate the time of a step change in the parameters of a multivariate multiple linear regression profile in Phase II.

The "two-block Partial Least-Squares" analysis (2b-PLS hereafter) of a data set of 58 individuals first allowed the "all-season & sex" question to be addressed: is there any "multivariate multiple linear covariation" between the five microwear texture variables on the one hand and the four main stomach contents variables on the other (forbs, bushes/shrubs, bramble leaves, and acorns)?

In this paper, we have demonstrated the use of a novel multivariate multiple linear regression method, to determine relative contributions of various genomic traits explaining different aspects of gene expression.

Variables or constructs that were statistically significantly associated with measures of purpose in life in the univariate analyses were then entered into multivariate multiple linear regression models with the same dependent variables (method stepwise backward).

In fact, the rapid multivariate multiple linear regression (RMMLR) method proposed by Basu et al. is essentially equivalent to the multivariate gene-based CCA/MANOVA proposed by Tang and Ferreira, leaving only one MANOVA-based method.

In multivariate analyses, multiple linear regressions were performed to analyze the relationship between factor solutions of HADS and CVC.

For multivariate approach, multiple linear regression was applied, including exclusively the covariates for which the univariate P value was ≤0.15.

Besides bivariate analysis, the net effect of each independent variable on the dependent variable after controlling for the effect of other predictors has also been measured through multivariate analysis (multiple linear regressions).

Multivariate statistics (Multiple Linear Regression or Unconditional Logistic Regression or Multilevel Logistic Regression, considering the doctor as a first level of analysis and the patient as a second level) is also applied.

Furthermore, the net effect of each predictor variable on the dependent variable after controlling for the effect of other predictors was also measured via multivariate analysis (multiple linear regressions).