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Multivariate multilevel censored model
Multilevel Data/Complex Sample
posted on Monday, August 22, 2016 - 8:48 am
Hello. I am trying to fit a multivariate (2 outcomes) multilevel model where both outcomes are treated as censored normal (below).
If I fit the model without censoring, a correlation between the two outcomes at the within level is reported as default, but not when the censoring is added. If I explicitly add
a with b;
I get an error. I am able to specify a within-cluster correlation if I use a latent variable formation instead.
F by a b;
Is it sensible/practical to try and incorporate such correlations in a multilevel model where both outcomes are censored normal? Thank you
Bengt O. Muthen
posted on Monday, August 22, 2016 - 1:43 pm
Yes, the factor approach is the way to go here.
posted on Wednesday, August 24, 2016 - 2:42 am
Many thanks for confirming that, it's a great help to know this.
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