Results 51 to 60 of about 56,663 (274)
Model fit indices of latent class growth analysis models with different numbers of classes.
, 2023 Model fit indices of latent class growth analysis models with different numbers of classes.
Chris Sidey-Gibbons (6683312) +5 more
core +1 more source
Latent Model with Longitudinal Health Data
, 2023 Longitudinal data describes the data that tracks the same type of information on the same subjects at multiple time points. Longitudinal data allows researchers to explore dynamic information rather than static concepts, and it is essential for ...
Weng, Hongbin
core
Association between quality of life, sleep quality and mental disorders in Iranian older adults
Scientific Reports, 2022 Aging as a major challenge can affect the development and growth of countries all around the world. This study aimed to identify the subgroups of the elderly based on the quality of life (Qol), sleep quality, and common mental disorders and assess the ...
Ali Khorshidi +3 more
doaj +1 more source
FEBS Letters, EarlyView.Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
, 2020 Latent class (LC) analysis is a widely used method for extracting meaningful groups (LCs) from data. The basic concept was introduced by Paul Lazarsfeld in 1950 for building typologies (or clusters) from dichotomous variables as part of his more general ...
Madura, John P. +2 more
core +2 more sources
Using latent class growth analysis to form trajectories of premorbid adjustment in schizophrenia. [PDF]
Journal of Abnormal Psychology, 2012 Premorbid adjustment varies widely among individuals with schizophrenia and has been shown to bear significantly on prodrome and onset characteristics, and on cognition, symptoms, and functioning after onset. The current analysis focused on the Premorbid Adjustment Scale, a retrospective measure assessing social and academic function at several time ...
Veronica T, Cole +3 more
openaire +2 more sources
Molecular Oncology, EarlyView.Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source
A Latent Growth Curve Analysis [PDF]
, 2023 Funding Information: This work was supported by the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 777167. Dr. Lauren Kelada is supported by the Golda Meir Post-Doctoral Fellowship Fund.
BOUNCE Consortium
core +1 more source
Molecular Oncology, EarlyView.Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source