Hi there!
I'm in the process of learning how to interpret mixed effect models in Stata17and I could use some help.
I've fit a mixed effect glm with a random intercept by cluster and random coefficient by BinaryVar1. This is theoretically informed so I know that the variables may need to be dropped from the model with statistical basis. Could someone help me understand how to interpret the mixed effects? None of the examples I could find utilize the svy procedures, so they get var(residual) instead of by outcome and I'm a bit confused by it.
Thanks!
With the output:
I'm in the process of learning how to interpret mixed effect models in Stata17and I could use some help.
I've fit a mixed effect glm with a random intercept by cluster and random coefficient by BinaryVar1. This is theoretically informed so I know that the variables may need to be dropped from the model with statistical basis. Could someone help me understand how to interpret the mixed effects? None of the examples I could find utilize the svy procedures, so they get var(residual) instead of by outcome and I'm a bit confused by it.
Thanks!
Code:
svy: meglm outcome Var1 BinaryVar1, family(gaussian) link(identity) || cluster: BinaryVar1,
