Online Program

Modeling interactions in latent transition analysis (LTA)

Tuesday, November 5, 2013

Jichuan Wang, PhD, School of Medicine, The George Washington University, Bowie, MD
In recent years the latent class analysis (LCA) has been increasingly applied in the fields of public health studies. However, applications of the latent transition analysis (LTA), which is an extension of LCA to longitudinal data, are still very limited. This is partially because of the difficulty in modeling the impact of a covariate (e.g., intervention/treatment) on latent class transitions that involves interactions between the covariate and latent class. Using simulated data, this study demonstrates how to use Mplus to estimate LTA model with a 3x3 transition matrix (i.e., three classes in the latent class variables at both time 1 and time 2, each of which has four dichotomous indicators). The structural parameters of the latent transitions will be estimated using different parameterization approaches. Our results provide evidence that different parameterization approaches for modeling interactions between covariate and latent class in LTA model provide equivalent results. Parameters estimated from both Parameterizations 1 and 2 can be used to assess the effects of covariates on latent transitions in LTA model.

Learning Areas:

Biostatistics, economics
Public health or related research
Social and behavioral sciences

Learning Objectives:
Discuss the basics of latent transition analysis (LTA) model. Discuss and compare Parameterizations 1 and 2 in estimating interactions between covariates and latent class in LTA model. Demonstrate how to use Mplus to model interactions between covariate and latent class in LTA model.

Keyword(s): Biostatistics, Methodology

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am qualified on the content I am responsible for because I have been working in public health studies for over 20 years. I usually make two presentations in the Statistics Sessions of the APHA annual meetings each year in many of the past years.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.