I am trying to run a discrete-time hazard model (Singer and Willett, 2003). Currently, this is a very simple model I can fit with the logit command included in most stat package. However, I plan to use Mplus to run more sophisticated models. Before doing so, I want to be able to benchmark my Mplus results against the results I get with a more familiar package.
Here is my syntax: Analysis: type = mixture missing; algorithm=integration; Model: %overall% evrout2-evrout34 on lseo (1); evrout2-evrout34 on lmen (2);
This works just fine. However, problems arise when I try to include time-varying covariates. (Both lseo and lmen are time-invariant) I thought that I could do this by simply adding this line for the time-varying covariate: evrout2-evrout34 on linst2-linst34 (3); to the model statement. However, when I do so, I get an error message stating that I need to use the integration=Montecarlo option. This makes me think that I'm doing something wrong.
Certain situations require Monte Carlo integration. Add INTEGRATION=MONTECARLO; to the ANALYSIS command. If you continue to have problems, please send your input, data, output, and license number to firstname.lastname@example.org.