Logistic model with LC variable as pr... PreviousNext
Mplus Discussion > Latent Variable Mixture Modeling >
 Jon Heron posted on Friday, August 18, 2006 - 2:15 pm

I've derived a 5-class LCA based on 5 binary observed variables

I would like to use this 5-level factor as a predictor in a logistic regression model.

If I include this binary outcome as a 6th variable in my usevariable list then I get a set of odds ratios as if the class-variable were the outcome and my binary variable the predictor, which is equivalent to the unadjusted estimate I seek thanks to odds ratios being reversible.

However, I want to incorporate other covariates into this model as confounders so then I can no longer employ the method above.

How can I model a multivariable logistic model in this way?

many thanks

 Bengt O. Muthen posted on Friday, August 18, 2006 - 11:04 pm
The covariates can be specified to influence both the latent class variable (with 5 classes) and your binary outcome (the 6th outcome). From this estimated model you can compute odds ratios.
 Jon Heron posted on Monday, August 21, 2006 - 6:15 am
I see, many thanks

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