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April 18, 2014
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Mplus Website Updates

Randomized Trials

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.