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Bayesian multivariate growth curve latent class models for mixed outcomes [PDF]
Statistics in Medicine, 2012 In many clinical studies, the disease of interest is multifaceted, and multiple outcomes are needed to adequately capture information about the characteristics of the disease or its severity. In the analysis of such diseases, it is often difficult to determine what constitutes improvement because of the multivariate nature of the outcome.
Leiby, Benjamin E. +3 more
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Frontiers in Pediatrics, 2021 Objective: The purpose of this study was to identify trajectories of body mass index (BMI) in toddlers from birth to 2 years old and examine their association with infantile overweight/obesity.Methods: Data were collected from 19,054 children born in any
Tian Zhang +9 more
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Latent Class Trajectory and Growth Mixture Models in the Study of Physical Resilience [PDF]
Innovation in Aging, 2020 Abstract After a stressor, individuals may experience different trajectories of function and recovery. One potential explanation for this variation is differing trajectories may be indicators of differing classes or levels of resilience to the stressor.
Pieper, Carl +2 more
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Exploring Class Enumeration in Bayesian Growth Mixture Modeling Based on Conditional Medians
Frontiers in Education, 2021 Growth mixture modeling is a popular analytic tool for longitudinal data analysis. It detects latent groups based on the shapes of growth trajectories.
Seohyun Kim, Xin Tong, Zijun Ke
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Latent class analysis variable selection [PDF]
, 2009 We propose a method for selecting variables in latent class analysis, which is the most common model-based clustering method for discrete data. The method assesses a variable's usefulness for clustering by comparing two models, given the clustering ...
Nema Dean +3 more
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Capturing the heterogeneity of urban growth in South Korea using a latent class regression model [PDF]
Transactions in GIS, 2018 Abstract This study aims to analyze the spatial patterns of urban growth in South Korea between 2000 and 2010. Fourteen suspected causative independent variables were selected and latent class regression (LCR) was used to analyze the relationship between dependent (urban growth) and independent (causative) variables.
Soyoung Park +2 more
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Latent trajectory studies: the basics, how to interpret the results, and what to report [PDF]
European Journal of Psychotraumatology, 2015 Background: In statistics, tools have been developed to estimate individual change over time. Also, the existence of latent trajectories, where individuals are captured by trajectories that are unobserved (latent), can be evaluated (Muthén & Muthén, 2000)
Rens van de Schoot
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Marginal structural models with Latent Class Growth Modeling of Treatment Trajectories
, 2021 In a real-life setting, little is known regarding the effectiveness of statins for primary prevention among older adults, and analysis of observational data can add crucial information on the benefits of actual patterns of use. Latent class growth models (LCGM) are increasingly proposed as a solution to summarize the observed longitudinal treatment in ...
Diop, Awa +3 more
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Bayesian Inference for Growth Mixture Models with Latent Class Dependent Missing Data [PDF]
Multivariate Behavioral Research, 2011 Growth mixture models (GMMs) with nonignorable missing data have drawn increasing attention in research communities but have not been fully studied. The goal of this article is to propose and to evaluate a Bayesian method to estimate the GMMs with latent class dependent missing data.
Zhenqiu Laura, Lu +2 more
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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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