To determine the independent parameters correlated with CAI and A-FABP, parameters including age, gender, and those correlated significantly with CAI and A-FABP in correlation analysis were tested in multiple stepwise regression analysis.
Pearson and partial correlation analysis were applied to determine factors that correlated with cystatin C, and Spearman correlation analysis was performed to determine factors that correlated with Gensini score.
To display the chromosomal locations of the correlative regions at 34 RFLP markers, the results of the correlation analysis were superimposed onto a genetic map of rice (Additional file 10).
Thus, all predetermined independent variables that correlated with a P value of less than <0.05 in the Pearson correlation analysis were inserted into a stepwise, multiple regression analysis.
Analysis of variance (ANOVA) and correlation analysis were performed.
Association and correlation analysis were performed using Plink and RStudio.
Both exploratory factor analysis and correlation analysis were conducted.
All significant results of correlation analysis were therefore checked for plausibility.
Enrichment factor and Spearman's rank correlation analysis were carried out on compositional data.
Multiple regression and correlation analysis were used to analyze the data.
A variety of system approach methods and correlation analysis were used to analyze the structure of the capacity.
