General growth mixture modeling for randomized preventive interventions.

By B. Muthén, C. Hendricks Brown, Katherine E. Masyn, Booil Jo, Siek Toon Khoo, Chih-Chien Yang, Chen-Pin Wang, S. Kellam, J. Carlin, J. Liao. 2001

462 citations recorded by the source corpus.

Subfields: Education, General Health Professions, Safety Research

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Citations in the corpus

A Bayesian model for repeated measures zero-inflated count data with application to outpatient psychiatric service use (2010, background): “Alternatively, one could include random effects as in our analyses, but allow for class-specific covariance structures, resulting in a zero-inflated growth mixture model (Muthén et al. 2002; Elliott et al., 2005).”
Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes. (2003, methodology): “Similarly, conditional growth mixture models have been recommended to identify subgroups of individuals for whom interventions differ in effectiveness (B. Muthén et al., 2002).”
Latent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data (2004, methodology): “In contrast, such a nonmonotonic intervention effect can be handled using GGMM with the treatment/control dummy variable as a covariate having class-varying slopes (see Muthén et al., 2002).”
Profiling retirees in the retirement transition and adjustment process: examining the longitudinal change patterns of retirees' psychological well-being. (2007, methodology): “The current study mainly relies on growth mixture modeling (GMM; for reviews, please see B. Muthén, 2004; B. Muthén et al., 2002) to reveal different change patterns of retirees’ psychological well-being.”
Residual Diagnostics for Growth Mixture Models (2005, methodology): “In other analyses, the generalized estimating equation approach (Zeger, Liang, and Albert 1988) has been used to adjust for the classroom clustering (Muthén et al. 2002).”
Handbook of Forgiveness (2007, methodology): “…and alcohol use from adolescence to early adulthood (Tucker, Orlando, & Ellickson, 2003), the development of aggression among at-risk adolescents (Muthén et al., 2002), and even the developmental pathways of religious development from the postcollege years to late adulthood (McCullough, Enders,…”
The Dynamics of Economic Disadvantage and Children's Life Chances (2006, unknown): “Muthén et al. (2002) and Dunn et al. (2003) have used finite mixture modeling to identify noncompliant subjects in clinical experimental trials, and Lennon et al. (2005) have identified effects on trajectories of homelessness in a randomized intervention trial among men with mental illness.”
Using a Bayesian latent growth curve model to identify trajectories of positive affect and negative events following myocardial infarction. (2005, unknown): “…on class assignment, that is, assume Third, non-normal forms of y i can be considered, as in Roeder et al. (1999), or interactions between class membership parameters governing the growth curve β k and γ k and covariate effects x i , as in Muthén and Shedden (1999) or Muthén et al. (2002).”
Impact of Misspecifications of the Latent Variance–Covariance and Residual Matrices on the Class Enumeration Accuracy of Growth Mixture Models (2016, background): “However, with few exceptions (e.g., McLachlan & Peel, 2000; Muthén et al., 2002) in which it is quickly mentioned that relying on a class-varying latent variance–covariance matrix could possibly make a substantive difference, the global assumption is that relying on restricted parameterizations of G”