Results 271 to 280 of about 306,960 (301)

Predictions of Individual Change Recovered With Latent Class or Random Coefficient Growth Models

Structural Equation Modeling: A Multidisciplinary Journal, 2014
Popular longitudinal models allow for prediction of growth trajectories in alternative ways. In latent class growth models (LCGMs), person-level covariates predict membership in discrete latent classes that each holistically define an entire trajectory of change (e.g., a high-stable class vs. late-onset class vs. moderate-desisting class).
Sonya K. Sterba, Daniel J. Bauer
openaire   +1 more source

Persistent High Non-High-Density Lipoprotein Cholesterol in Early Childhood: A Latent Class Growth Model Analysis

The Journal of Pediatrics, 2017
To examine patterns of non-high-density lipoprotein (HDL) cholesterol in early childhood and identify factors associated with persistent high non-HDL cholesterol in healthy urban children.We identified all children enrolled in a primary care practice-based research network called TARGet Kids!
Jordan M, Albaum, Sarah, Carsley, Yang, Chen, David W H, Dai, Gerald, Lebovic, Brian W, McCrindle, Jonathon L, Maguire, Patricia C, Parkin, Catherine S, Birken   +8 more
openaire   +2 more sources

Growth Models for Categorical Response Variables: Standard, Latent-Class, and Hybrid Approaches

2017
Transitional models such as Markov-type models concentrate on changes between consecutive time points. Marginal models can be used to investigate changes in univariate distributions, and random-effects or growth models study development of individuals over time.
openaire   +2 more sources

Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study

Structural Equation Modeling: A Multidisciplinary Journal, 2007
Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite mixture models' usefulness in practice, one unresolved issue in the application of mixture models is that there is not one commonly accepted statistical indicator for deciding on the number of classes in a study population ...
Karen L. Nylund, Tihomir Asparouhov, Bengt O. Muthén   +2 more
openaire   +1 more source

Systemic therapy for hormone receptor‐positive/human epidermal growth factor receptor 2‐negative early stage and metastatic breast cancer

Ca-A Cancer Journal for Clinicians, 2023
Laura A Huppert, Hope S Rugo
exaly  

Trajectories of change in Life Satisfaction for Intellectual Disabilities : Using Latent Class Growth Modeling

Journal of special education : theory and practice, 2020
Younghee Cho, Jaekook Park
openaire   +1 more source

Cancer treatment and survivorship statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Kimberly D Miller, Leticia M Nogueira, Angela B Mariotto   +2 more
exaly  

Latent Class Growth Modeling

2014
openaire   +1 more source

Follow the trail: Using insights from the growth of palliative care to propose a roadmap for cancer rehabilitation

Ca-A Cancer Journal for Clinicians, 2019
Timothy F Marshall, Julie K Silver, Vishwa S Raj   +2 more
exaly  

Evolving standards of care and new challenges in the management of HER2‐positive breast cancer

Ca-A Cancer Journal for Clinicians, 2020
Grace M Choong, Grace D Cullen, Ciara C O'sullivan   +2 more
exaly