Sentence examples for multivariate analysis distribution from inspiring English sources

Before multivariate analysis, distribution of continuous variables was tested for normality using Shapiro-Wilk test and nonnormally distributed parameters were logarithmically transformed.

Before the multivariate analysis, a distribution analysis using the Kolmogorov-Smirnov test showed that the telomere length data were normally distributed.

Before the multivariate analysis, a distribution analysis using the Kolmogorov-Smirnov test showed that the both SOD2 and catalase were not normally distributed; therefore, their concentrations were square and log transformed respectively to obtain a normal distribution.

We also performed the multivariate analysis towards the distribution of people infected with Beijing genotype strains based on the univariate analysis.

In the multivariate analysis, p21 percentage distribution independently predicted cancer-related survival in all cases, and p21 expression intensity in T1 4/N0 3/M0 and T1 3/N0/M0 cases.

This redundancy analysis is a multivariate analysis that shows the distribution of the samples in a three-dimensional space based on species variables and environmental variables.

Pearson chi-square test was used to examine significant differences between the two groups (i.e., depressed versus non-depressed) in terms of gender distribution; Multivariate analysis of variance (MANOVA), was used to examine the impact of gender, group membership (Depressed vs. Non-depressed), gender and their interaction on the indexes of the scales.

Multivariate analysis showed that lactase distributions provided the best model of fit for IBD.

In addition, this study included a multivariate analysis of the difference in distribution of potential prognostic markers between the two age groups.

Before using multivariate analysis of covariance (MANCOVA), normal distribution of the dependent variables and the associated variables, variance homogeneity and covariance homogeneity of the groups, and the weakness of correlation between the variables were ensured.

Specifically, we characterize broad patterns of morphometric variation using multivariate analysis, evaluate the extent and phylogenetic distribution of cave-associated morphologies, and discuss evolutionary, developmental, and taxonomic implications.