The phrase "approach and multivariate" is correct and usable in written English.
It can be used in contexts related to statistical analysis, research methodologies, or data science where multiple variables are being considered in an approach.
Example: "In our study, we employed a multivariate approach to analyze the impact of various factors on consumer behavior."
Alternatives: "method and multivariable" or "strategy and multiple variables".
These studies are based on the application of advanced pattern recognition approaches and multivariate statistical classifiers.
All these tests can be performed under different assumptions and with slightly different approaches, and multivariate analyses are generally performed.
In analyses using this approach, univariate and multivariate logistic regression analyses confirmed that densities of CD3+, CD8+, and CD45RO+ TILs were independent predictors of regional lymph node metastasis (Table 7).
Given its novel multivariate testing of functional SNPs, JEPEG is a complementary tool to the commonly used univariate GWAS approach and agnostic multivariate approaches like VEGAS.
The extrapolation methods used were a digital soil mapping (DSM) regression model approach and a multivariate multiple-point statistical (MPS) approach.
Imputation using both the fully conditional specification approach and the multivariate normal approach is carried out and results are compared.
Using a nontargeted approach and employing multivariate analysis (Jové et al., 2011), we demonstrated that CR induced marked changes in the liver lipidome profile.
Both the empirical approach and the multivariate statistical techniques, including principal components analysis (PCA) and linear discriminant analysis (LDA), were employed to develop effective diagnostic algorithms for differentiations between normal and dysplasia tissue in the stomach.
In standard clinical epidemiological approaches, univariate and multivariate regression analyses are performed to determine significant and independent predictors of disease development.
For example, Quesada and Del Castillo (2004) proposed a dual response approach to multivariate robust parameter designs.
