Using Generalized Linear Mixed Models to Evaluate Inconsistency within a Network Meta-Analysis

Because some statistical software commands can detect the collinearity among variables and automatically remove the redundant ones, we can use this advantage to help with placing the inconsistency parameters. This could be very useful for a network meta-analysis involving many designs and treatments.