New method uncovers hidden relationships between variables, revolutionizing statistical analysis.
The article discusses a method to analyze relationships between multiple variables by calculating partial correlation coefficients. By keeping some variables constant, the researchers were able to determine the level of association among the variables. They used matrices to compute correlation coefficients from variance covariance matrices. The study found that partial correlation coefficients are diagonal matrices that follow a normal distribution.