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The atom balances were determined using all of the gaseous decomposition products based on quantitation by multivariate regression methods.
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The regression models were built by using the linear multivariate regression method Partial Least Squares (PLS), and the nonlinear multivariate regression methods Support Vector Machines (SVM) and Locally Weighted Regression (LWR).
Regression has been successfully adapted to high-dimensional situations by penalization methods (review by Hesterberg, 2008), and penalized regression has been shown to outperform univariate and other multivariate regression methods in multiple genomic datasets (Bøvelstad et al., 2007).
We consider data-based multivariate regression methods as alternative solution to the problem.
We repeated the analysis without propensity score matching and instead used standard multivariate regression methods.
Compared to the 'BayesB' method, the presented multivariate regression methods used much less computational time.
Associations were estimated by multivariate regression analyses.
Associations were assessed by multivariate regression analyses.
Adjustment for potential confounders was made by multivariate regression analysis.
The analysis has been conducted by multivariate logistic regression (Method: Forced entry) in seven model steps with self-rated health as the dependent variable.
For the purpose of affirming the significant effects of gender on mortality, study results were analyzed by using multivariate logistic regression methods.
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