Results 31 to 40 of about 48,842 (252)

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, Sirois, Caroline, Guertin, Jason Robert, Talbot, Denis   +3 more
openaire   +2 more sources

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, Zhiyong, Zhang, Gitta, Lubke   +2 more
openaire   +2 more sources

Latent class growth modelling for the evaluation of intervention outcomes: example from a physical activity intervention [PDF]

Journal of Behavioral Medicine, 2021
AbstractIntervention studies often assume that changes in an outcome are homogenous across the population, however this assumption might not always hold. This article describes how latent class growth modelling (LCGM) can be performed in intervention studies, using an empirical example, and discusses the challenges and potential implications of this ...
Anna-Maria Lampousi, Jette Möller, Yajun Liang, Daniel Berglind, Yvonne Forsell   +4 more
openaire   +2 more sources

Serum Cystatin C Trajectory Is a Marker Associated With Diabetic Kidney Disease

Frontiers in Endocrinology, 2022
ObjectiveTo explore the association of the trajectory of serum Cystatin C (Cysc) with diabetic kidney disease (DKD), a retrospective cohort study of Chinese subjects was carried out.MethodA review of 2,928 diabetes mellitus (DM) patients admitted to the ...
Nana Wang, Zhenyu Lu, Wei Zhang, Yu Bai, Dongmei Pei, Ling Li   +5 more
doaj   +1 more source

A Bootstrap Approach for Evaluating Uncertainty in the Number of Groups Identified by Latent Class Growth Models

American Journal of Epidemiology, 2023
Abstract The use of longitudinal finite mixture models such as group-based trajectory modeling has seen a sharp increase during the last few decades in the medical literature. However, these methods have been criticized, especially because of the data-driven modeling process, which involves statistical decision-making.
Miceline, Mésidor, Caroline, Sirois, Marc, Simard, Denis, Talbot   +3 more
openaire   +2 more sources

Trajectories of Adaptive Behaviors During Childhood in Females and Males in the General Population

Frontiers in Psychiatry, 2022
Little is known about the trajectory patterns and sex differences in adaptive behaviors in the general population. We examined the trajectory classes of adaptive behaviors using a representative sample and examined whether the class structure and ...
Tomoko Nishimura, Tomoko Nishimura, Takeo Kato, Takeo Kato, Akemi Okumura, Akemi Okumura, Taeko Harada, Taeko Harada, Toshiki Iwabuchi, Toshiki Iwabuchi, Md. Shafiur Rahman, Md. Shafiur Rahman, Tomoya Hirota, Tomoya Hirota, Michio Takahashi, Masaki Adachi, Hitoshi Kuwabara, Hitoshi Kuwabara, Shu Takagai, Yoko Nomura, Yoko Nomura, Nagahide Takahashi, Nagahide Takahashi, Atsushi Senju, Atsushi Senju, Kenji J. Tsuchiya, Kenji J. Tsuchiya   +26 more
doaj   +1 more source

Class Enumeration and Parameter Recovery of Growth Mixture Modeling and Second-Order Growth Mixture Modeling in the Presence of Measurement Noninvariance between Latent Classes [PDF]

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 and growth) assuming measurement invariance between latent classes. Considering that the assumption of
Kim, Eun Sook, Wang, Yan
openaire   +3 more sources

Basic Reproduction Number of the 2019 Novel Coronavirus Disease in the Major Endemic Areas of China: A Latent Profile Analysis

Frontiers in Public Health, 2021
Objective: The aim of this study is to analyze the latent class of basic reproduction number (R0) trends of the 2019 novel coronavirus disease (COVID-19) in the major endemic areas of China.Methods: The provinces that reported more than 500 cases of ...
Honglv Xu, Yi Zhang, Yi Zhang, Min Yuan, Liya Ma, Liya Ma, Meng Liu, Meng Liu, Hong Gan, Hong Gan, Wenwen Liu, Wenwen Liu, Gillian Gianna Anne Lum, Fangbiao Tao, Fangbiao Tao, Fangbiao Tao   +15 more
doaj   +1 more source

Determining the Number of Latent Classes in Single- and Multiphase Growth Mixture Models [PDF]

Structural Equation Modeling: A Multidisciplinary Journal, 2014
Stage-sequential (or multiphase) growth mixture models are useful for delineating potentially different growth processes across multiple phases over time and for determining whether latent subgroups exist within a population. These models are increasingly important as social behavioral scientists are interested in better understanding change processes ...
openaire   +2 more sources

Longitudinal trajectories of physical activity in women using latent class growth analysis: The WIN Study

Journal of Sport and Health Science, 2016
Purpose: This study aimed (1) to examine the longitudinal trajectories in objectively measured physical activity (PA); (2) to identify unknown (i.e., latent) subgroups with distinct trajectories; and (3) to examine the correlates of latent subgroups ...
Youngdeok Kim, Minsoo Kang, Anna M. Tacón, James R. Morrow, Jr   +3 more
doaj   +1 more source