Results 51 to 60 of about 580,777 (188)

Care trajectories of people with mood disorders in Quebec using latent class and latent profile analysis methods

open access: yesJournal of Mood and Anxiety Disorders
The prevalence of mood disorders has increased globally. People with mood disorders have been found to use more health services than the general population, although a mood disorder diagnosis does not necessarily entail utilization of health services ...
Christian Roger Claver Kouakou   +3 more
doaj   +1 more source

Assessing Classification Bias in Latent Class Analysis: Comparing Resubstitution and Leave-One-Out Methods [PDF]

open access: yes, 2010
This Monte Carlo simulation study assessed the degree of classification success associated with resubstitution methods in latent class analysis (LCA) and compared those results to those of the leaveone- out (L-O-O) method for computing classification ...
Chen, Jinsong   +3 more
core   +2 more sources

Latent Class and Transition Analysis of Alzheimer's Disease Data

open access: yesFrontiers in Computer Science, 2020
This study uses independent latent class analysis (LCA) and latent transition analysis (LTA) to explore accurate diagnosis and disease status change of a big Alzheimer's disease Neuroimaging Initiative (ADNI) data of 2,132 individuals over a 3-year ...
Hany Alashwal   +6 more
doaj   +1 more source

Class structure and income inequality in transitional China

open access: yesThe Journal of Chinese Sociology, 2020
Integrating Kornai’s concept of coordination mechanism and Weber’s types of domination, the author argues that, based on the different property rights embedded within the state power structure, bureaucratic and market coordination define class positions ...
Xin Liu
doaj   +1 more source

Checking Assumptions in Latent Class Regression Models via a Markov Chain Monte Carlo Estimation Approach: An Application to Depression and Socio-Economic Status [PDF]

open access: yes, 2003
Latent class regression models are useful tools for assessing associations between covariates and latent variables. However, evaluation of key model assumptions cannot be performed using methods from standard regression models due to the unobserved ...
Eaton, William W.   +4 more
core   +1 more source

Estimating the Demand for Health Care with Panel Data: A Semiparametric Bayesian Approach [PDF]

open access: yes, 2003
This paper is concerned with the problem of estimating the demand for health care with panel data. A random effects model is specifed in a semiparametric Bayesian fashion using a Dirichlet process prior. This results in a very exible mixture distribution
Jochmann, M., Leon-Gonzalez, R.
core   +2 more sources

Detecting Conditional Dependence Using Flexible Bayesian Latent Class Analysis

open access: yesFrontiers in Psychology, 2020
A fundamental assumption underlying latent class analysis (LCA) is that class indicators are conditionally independent of each other, given latent class membership.
Jaehoon Lee, Kwanghee Jung, Jungkyu Park
doaj   +1 more source

A comparison of two-stage segmentation methods for choice-based conjoint data: a simulation study. [PDF]

open access: yes
Due to the increasing interest in market segmentation in modern marketing research, several methods for dealing with consumer heterogeneity and for revealing market segments have been described in the literature.
Crabbe, Marjolein   +2 more
core  

Applying latent class assignments for accelerometry data to external populations: Data from the National Health and Nutrition Examination Survey 2003–2006

open access: yesData in Brief, 2016
Latent class analysis can identify unmeasured mutually exclusive categories (class membership) among participants for either observed categorical or continuous variables.
Kelly R. Evenson   +3 more
doaj   +1 more source

The Application of Latent Class Analysis for Investigating Population Child Mental Health: A Systematic Review

open access: yesFrontiers in Psychology, 2019
Background: Latent class analysis (LCA) can be used to identify subgroups of children with similar patterns of mental health symptoms and/or strengths. The method is becoming more commonly used in child mental health research, but there are reservations ...
Kimberly J. Petersen   +2 more
doaj   +1 more source

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