Mplus provides new methods for the analysis of data from
randomized trials (clinical trials, randomized preventive interventions):
- Complier-average causal effect (CACE) modeling--assessing treatment effects among compliers in
the treatment group as compared to
potential compliers in the control group. An Mplus setup for
can be found among the Mplus Examples.
- Growth mixture modeling--allowing treatment effects to vary across latent trajectory
classes and among
individuals within classes. Click here
for a link to a setup for growth mixture modeling.
Related papers on randomized trials can be