Hi!
I have run a linear mixed model,
mixed bmiz noise_between noise_within c_age c.c_age#c.c_age c.noise_within#c.c_age i.gender c_income diet i.physact || id: c_age, cov(unstructured) mle
where bmi, noise, age and income are measured at 6 different time points.
I want to do some diagnostics to see whether the linear mixed model assumptions (homogeneity of variances etc...) hold. Can anyone please explain to me how assumption diagnostics can be done in Stata? I really struggle to find some examples on this, and would really appreciate advices on this!!
Kind regards,
Kjell Weyde
I have run a linear mixed model,
mixed bmiz noise_between noise_within c_age c.c_age#c.c_age c.noise_within#c.c_age i.gender c_income diet i.physact || id: c_age, cov(unstructured) mle
where bmi, noise, age and income are measured at 6 different time points.
I want to do some diagnostics to see whether the linear mixed model assumptions (homogeneity of variances etc...) hold. Can anyone please explain to me how assumption diagnostics can be done in Stata? I really struggle to find some examples on this, and would really appreciate advices on this!!
Kind regards,
Kjell Weyde
