Results 31 to 40 of about 5,459,614 (334)

Using Two-Step Cluster Analysis and Latent Class Cluster Analysis to Classify the Cognitive Heterogeneity of Cross-Diagnostic Psychiatric Inpatients

Frontiers in Psychology, 2020
The heterogeneity of cognitive profiles among psychiatric patients has been reported to carry significant clinical information. However, how to best characterize such cognitive heterogeneity is still a matter of debate.
M. Benassi, S. Garofalo, F. Ambrosini, R. Sant’Angelo, R. Raggini, G. De Paoli, C. Ravani, S. Giovagnoli, M. Orsoni, G. Piraccini   +9 more
semanticscholar   +1 more source

Disease comorbidities associated with chemical intolerance

Environmental Disease, 2021
Background: Chemical intolerance (CI) is characterized by multisystem symptoms initiated by a one-time high-dose or a persistent low-dose exposure to environmental toxicants.
Raymond F. Palmer, Tatjana Walker, Roger B. Perales, Rodolfo Rincon, Carlos Roberto Jaén, Claudia S. Miller   +5 more
doaj   +1 more source

Latent class recapture models with flexible behavioural response [PDF]

, 2015
Recapture models based on conditional capture probabilities are explored. These encompass all possible forms of time-dependence and behavioural response to capture. Covariates are used to deal with observed heterogeneity, while unobserved heterogeneity
Farcomeni, Alessio
core   +2 more sources

Relating latent class membership to external variables: An overview

British Journal of Mathematical & Statistical Psychology, 2020
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

Latent Class Growth Modelling: A Tutorial [PDF]

Tutorials in Quantitative Methods for Psychology, 2009
The present work is an introduction to Latent Class Growth Modelling (LCGM). LCGM is a semi-parametric statistical technique used to analyze longitudinal data.
Benoît Louvet, Patrick Gaudreau, Amanda Thompson, Natasha Carraro, Heather Andruff   +4 more
doaj  

Class Enumeration and Parameter Recovery of Growth Mixture Modeling and Second-Order Growth Mixture Modeling in the Presence of Measurement Noninvariance between Latent Classes

Frontiers in Psychology, 2017
Population heterogeneity in growth trajectories can be detected with growth mixture modeling (GMM). It is common that researchers compute composite scores of repeated measures and use them as multiple indicators of growth factors (baseline performance ...
Eun Sook Kim, Yan Wang
doaj   +1 more source

lclogit2: An enhanced command to fit latent class conditional logit models

The Stata Journal, 2020
In this article, I describe the lclogit2 command, an enhanced version of lclogit (Pacifico and Yoo, 2013, Stata Journal 13: 625–639). Like its predecessor, lclogit2 uses the expectation-maximization algorithm to fit latent class conditional logit (LCL ...
H. I. Yoo
semanticscholar   +1 more source

Perceived COVID-19 threat, perceived healthcare system inequities, personal experiences of healthcare discrimination and their associations with COVID-19 preventive behavioral intentions among college students in the U.S.

BMC Public Health, 2022
College students are often reluctant to follow U.S. preventive guidelines to lower their risk of COVID-19 infection, despite an increased risk of transmission in college settings. Prior research suggested that college students who perceived greater COVID-
Juliana S. Sherchan, Jessica R. Fernandez, Shan Qiao, Arie W. Kruglanski, Allana T. Forde   +4 more
doaj   +1 more source

Solving the 100 Swiss Francs Problem [PDF]

, 2011
Sturmfels offered 100 Swiss Francs in 2005 to a conjecture, which deals with a special case of the maximum likelihood estimation for a latent class model.
B. Buchberger, F. Catanese, Guangran Jiang, J.C. Faugère, L. Pachter, Mingfu Zhu, N.W. Henry, S. Fienberg, S. Hoşten, Shuhong Gao   +9 more
core   +2 more sources

Dynamic Latent Class Analysis

Structural Equation Modeling: A Multidisciplinary Journal, 2016
This article describes the general time-intensive longitudinal latent class modeling framework implemented in Mplus. For each individual a latent class variable is measured at each time point and the latent class changes across time follow a Markov process (i.e., a hidden or latent Markov model), with subject-specific transition probabilities that are ...
Asparouhov, T., Hamaker, E.L., Muthén, B.   +2 more
openaire   +3 more sources