Sentence examples for multiple correlation rank from inspiring English sources

Linear multiple correlation, rank correlation, circular linear correlation, circular rank correlation, and multiple regression were used as statistical analyses.

Multiple correlation analysis (Spearman rank correlation coefficient r; significance level <0.05, Bonferroni corrected) was used to investigate relationships among all investigated parameters (Table S2).

1SMC-squared multiple correlations.

A p value <0.05 was considered statistically significant, after applying a Bonferroni correction if multiple rank-correlations were calculated simultaneously.

Per capita values of GDP and health expenditure are highly correlated (Spearman rank correlation rho = 0.964) and hence cannot be included into one multiple regression.

Correlation analysis was performed using Spearman rank correlation analysis or multiple linear regression analysis.

Correlations were calculated by Spearman rank correlation test without adjustment for multiple testing.

Spearman's rank correlation and multiple regression showed direct correlation of monthly RSV cases with rain days and inverse correlation with temperature.

Heteronuclear Multiple-Bond Correlation.

Univariate correlations were assessed by Spearman rank correlation method followed by Bonferroni adjustment for multiple testing.

We used Fisher's Exact Test to determine HLA-OLP associations (and Boneferoni test for multiple comparisons), Spearman's Rank correlation to determine associations between response frequency and HIV diversity, and Mann Whitney tests to determine differences between groups of continuous variables.