Sentence examples for multivariate statistical tests from inspiring English sources

Macrofaunal data were analysed through multivariate statistical tests, and for the orientation distributions the circular statistics were calculated and multivariate analyses for angular data were performed.

Multivariate statistical tests and contribution plots are also shown graphically.

Multivariate statistical tests such as clustering, principal component analysis, and multidimensional scaling were performed with Acuity 3.1 (Axon Instruments).

We employed bivariate and multivariate statistical tests.

Univariate and multivariate statistical tests are used to assess any differences between groups in terms of efficacy and safety parameters.

The SEM approach can be equivalent to other multivariate statistical tests, and therefore the Satorra and Saris approach to power analysis can be used.

The multivariate statistical test partial least squares-discriminant analysis (PLS-DA) was applied to build the models for screening out the variable important plot (VIP).

The multivariate statistical test partial least squares-discriminant analysis (PLS-DA) was applied to build models for screening out variable importance in the projection (VIP) and 27 proteins were identified as being responsible for discriminating between the proteomic profiles of schizophrenia patients and healthy controls.

CTES was shown to be significantly consistent within itself with P<0.05 using the Hotelling multivariate statistical test.

For univariate and multivariate statistical testing the following methods were used: Mann–Whitney test, Chi squared test, Spearman rank correlation, binary logistic regression, Logrank test and Cox regression.

In this article, we proposed a new multivariate statistical test, GSNCA that detects significant changes in the coexpression structure between two different biological conditions.