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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
CACE modeling
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
found here.
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General Description