Results 11 to 20 of about 450,220 (290)

Targeted use of growth mixture modeling: a learning perspective. [PDF]

Stat Med, 2017
From the statistical learning perspective, this paper shows a new direction for the use of growth mixture modeling (GMM), a method of identifying latent subpopulations that manifest heterogeneous outcome trajectories. In the proposed approach, we utilize the benefits of the conventional use of GMM for the purpose of generating potential candidate ...
Jo B, Findling RL, Wang CP, Hastie TJ, Youngstrom EA, Arnold LE, Fristad MA, Horwitz SM.   +7 more
europepmc   +3 more sources

Physical activity trajectory during pregnancy and associations with maternal fatigue using a growth mixture modeling approach [PDF]

Scientific Reports
The purpose of this study was to investigate the associations of physical activity trajectories with maternal fatigue. Pregnant women provided objectively assessed physical activity data by Pregnancy Physical Activity Questionnaire four times.
Shuhan Yan, Hui Jiang, Ziyi Yang, Xinyan Tang, Zihang Chen, Zhifang Chen, Huahua Liu, Feng Zhang   +7 more
doaj   +2 more sources

Supervision trajectories of male juvenile offenders: growth mixture modeling on SAVRY risk assessments

Child and Adolescent Psychiatry and Mental Health, 2018
Background Structured risk/need assessment tools are increasingly used to orientate risk reduction strategies with juvenile offenders. The assumption is that the risk/need items on these tools are sufficiently sensitive to measure changes in the ...
Ed L. B. Hilterman, Ilja L. Bongers, Tonia L. Nicholls, Chijs van Nieuwenhuizen   +3 more
doaj   +2 more sources

Reading Ability Development from Kindergarten to Junior Secondary: Latent Transition Analyses with Growth Mixture Modeling [PDF]

Frontiers in Psychology, 2016
The present study examined the reading ability development of children in the large scale Early Childhood Longitudinal Study (Kindergarten Class of 1998-99 data; Tourangeau, Nord, Lê, Pollack, & Atkins-Burnett, 2006) under the dynamic systems.
Yuan Liu, Hongyun Liu, Kit-tai HAU
doaj   +2 more sources

Identifying developmental trajectories of worldwide road traffic accident death rates using a latent growth mixture modeling approach.

PLoS ONE, 2019
Road Traffic Accidents (RTA) are a major worldwide public health problem. The aim of this study was to use the growth mixture model for clustering countries on the basis of the mortality rate patterns of RTAs from 2007 to 2013.
Masoud Salehi, Tofigh Mobaderi, Mohammadreza Mehmandar, Afsaneh Dehnad   +3 more
doaj   +2 more sources

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
doaj   +1 more source

Body Mass Index Trajectories in the First 5 Years and Associated Antenatal Factors

Frontiers in Pediatrics, 2021
Background: The increasing prevalence of childhood obesity is an important public health issue and the development of obesity in early life and associated risk factors need to be better understood. The aim of this study was to identify distinct body mass
Molly Mattsson, Deirdre M. Murray, Colin P. Hawkes, Mairead Kiely, Carol Ní Chaoimh, Fergus P. McCarthy, Regien Biesma, Fiona Boland   +7 more
doaj   +1 more source

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
doaj   +1 more source

Analysis of heterogeneous growth changes in longitudinal height of children

Journal of Health, Population and Nutrition, 2023
Background There have been methodologies developed for a wide range of longitudinal data types; nevertheless, the conventional growth study is restricted if individuals in the sample have heterogeneous growth trajectories across time.
Senahara Korsa Wake, Temesgen Zewotir, Essey Kebede Muluneh   +2 more
doaj   +1 more source

What Applying Growth Mixture Modeling Can Tell Us About Predictors of Number Line Estimation

Journal of Numerical Cognition, 2020
Number line estimation tasks have been considered a good indicator of mathematical competency for many years and are traditionally analyzed by fitting individual regression curves to individual responders. We innovate on this technique by applying growth
Jeffrey M. DeVries, Jörg-Tobias Kuhn, Markus Gebhardt   +2 more
doaj   +1 more source