Results 71 to 80 of about 1,514,883 (344)
ObjectivesThe study aimed to identify leisure activity patterns among older adults and explore the differences in the prevalence of mild cognitive impairment (MCI) of these patterns.MethodsA total of 352 older adults aged ≥ 65 years in Shijiazhuang were ...
Yuanyuan Zhang +17 more
doaj +1 more source
Relating latent class membership to external variables: An overview
In this article we provide an overview of existing approaches for relating latent class membership to external variables of interest. We extend on the work of Nylund‐Gibson et al. (Structural Equation Modeling: A Multidisciplinary Journal, 2019, 26, 967),
Zsuzsa Bakk, J. Kuha
semanticscholar +1 more source
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
poLCA: An R Package for Polytomous Variable Latent Class Analysis
poLCA is a software package for the estimation of latent class and latent class regression models for polytomous outcome variables, implemented in the R statistical computing environment. Both models can be called using a single simple command line.
Drew A. Linzer, Jeffrey B. Lewis
doaj
Latent class models for classification [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vermunt, J.K., Magidson, J.
openaire +2 more sources
Objective In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently, and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of the trajectory of a ...
Ji Soo Kim +18 more
wiley +1 more source
Regularized Latent Class Analysis for Polytomous Item Responses: An Application to SPM-LS Data
The last series of Raven’s standard progressive matrices (SPM-LS) test was studied with respect to its psychometric properties in a series of recent papers. In this paper, the SPM-LS dataset is analyzed with regularized latent class models (RLCMs).
Alexander Robitzsch
doaj +1 more source
How final year high school students’ depression develop during COVID-19 in China? A latent class growth modeling analysis [PDF]
Xinyu Zhang, Guangdong Zhou
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Objectives There is growing interest in evaluating new strategies to delay or prevent post‐traumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury.
Kevin Kennedy +9 more
wiley +1 more source
Mixture Hidden Markov Models for Sequence Data: The seqHMM Package in R
Sequence analysis is being more and more widely used for the analysis of social sequences and other multivariate categorical time series data. However, it is often complex to describe, visualize, and compare large sequence data, especially when there are
Satu Helske, Jouni Helske
doaj +1 more source

