Sentence examples for multivariate analyses utilised from inspiring English sources

Multivariate analyses utilised generalised linear modelling (GLM) to assess the main effects of gender, high school of origin, region of origin or special entry pathway status entered as predictive factors, ICSEA score entered as a predictive covariate and TER, TES, UMAT or interview scores (or their component parts) entered as dependent variables.

Multivariate analyses utilised linear regression to assess the independent relationships of total UMAT, UMAT-1, UMAT-2 and UMAT-3 with age, gender, type of secondary school, language spoken at home, country of origin, IRSAD decile, ARIA accessibility index and self-identification as ATSI.

Multivariate analyses utilised linear regression to assess the independent relationships of change in total UMAT, UMAT-1, UMAT-2 and UMAT-3 score between the first and second tests with age, gender, type of secondary school, language spoken at home, country of origin, ARIA score and self-identification as ATSI as independent predictors.

All analyses utilised Bonferroni correction for pairwise comparisons.

Statistical analyses utilised chi-squared and Mann-Whitney U tests.

All analyses utilised R 2.13.1 (The R Foundation for Statistical Computing).

The results present data from analyses utilising all available data.

Ramette A. Multivariate analyses in microbial ecology.

Bivariate and multivariate analyses were performed.

Light grey shading indicates features that are significant in univariate but not in multivariate analyses.

Univariate and multivariate analyses for RFS and OS were performed (Supplementary Table S3 and Table 2).