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Latent Class Growth Modelling: A Tutorial [PDF]
Tutorials in Quantitative Methods for Psychology, 2009 The present work is an introduction to Latent Class Growth Modelling (LCGM). LCGM is a semi-parametric statistical technique used to analyze longitudinal data.
Benoît Louvet +4 more
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Disease comorbidities associated with chemical intolerance
Environmental Disease, 2021 Background: Chemical intolerance (CI) is characterized by multisystem symptoms initiated by a one-time high-dose or a persistent low-dose exposure to environmental toxicants.
Raymond F. Palmer +5 more
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Identifiability of Latent Class Models with Covariates
Psychometrika, 2022 Abstract Latent class models with covariates are widely used for psychological, social, and educational research. Yet the fundamental identifiability issue of these models has not been fully addressed. Among the previous research on the identifiability of latent class models with covariates, Huang and Bandeen-Roche (Psychometrika 69:5–
Jing Ouyang, Gongjun Xu
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, 2022 Class proportions and class-specific probabilities from a four-latent-class model of chronic conditions.
Katherine Keenan (543406) +4 more
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Frontiers in Psychology, 2017 Population heterogeneity in growth trajectories can be detected with growth mixture modeling (GMM). It is common that researchers compute composite scores of repeated measures and use them as multiple indicators of growth factors (baseline performance ...
Eun Sook Kim, Yan Wang
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Characterizing longitudinal patterns of physical activity in mid-adulthood using latent class analysis: results from a prospective cohort study. [PDF]
, 2011 The authors aimed to describe how longitudinal patterns of physical activity during mid-adulthood (ages 31-53 years) can be characterized using latent class analysis in a population-based birth cohort study, the Medical Research Council's 1946 National ...
G. D. Mishra +11 more
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Which Policies and Factors Drive Electric Vehicle Use in Nepal?
Energies, 2023 Electric vehicles (EVs) offer a viable technological solution for mitigating greenhouse gas emissions in the transportation industry, addressing pressing societal concerns regarding climate change, air pollution, and sustainable energy consumption.
Laxman Prasad Ghimire +2 more
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Methodology, 2023 Factor mixture modeling (FMM) has been widely adopted in health and behavioral sciences to examine unobserved population heterogeneity. Covariates are often included in FMM as predictors of the latent class membership via multinomial logistic regression ...
Yan Wang, Tonghui Xu, Jiabin Shen
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Clustering Longitudinal Data Using R: A Monte Carlo Study
Methodology, 2022 The analysis of change within subjects over time is an ever more important research topic. Besides modelling the individual trajectories, a related aim is to identify clusters of subjects within these trajectories.
Peter Verboon, Ron Pat-El
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Variable assessment in latent class models [PDF]
Computational Statistics & Data Analysis, 2014 The latent class model provides an important platform for jointly modeling mixed-mode data - i.e., discrete and continuous data with various parametric distributions. Multiple mixed-mode variables are used to cluster subjects into latent classes. While the mixed-mode latent class analysis is a powerful tool for statisticians, few studies are focused on
Q. Zhang, Edward Hak-Sing Ip
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