Logistic model with LC variable as pr... PreviousNext
Mplus Discussion > Latent Variable Mixture Modeling >
Message/Author
 Jon Heron posted on Friday, August 18, 2006 - 8:15 am
Hi,


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


Jon
 Bengt O. Muthen posted on Friday, August 18, 2006 - 5:04 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 - 12:15 am
I see, many thanks


J
Back to top
Add Your Message Here
Post:
Username: Posting Information:
This is a private posting area. Only registered users and moderators may post messages here.
Password:
Options: Enable HTML code in message
Automatically activate URLs in message
Action: