Results 21 to 30 of about 580,777 (188)
Sepsis-induced Coagulopathy Subphenotype Identification by Latent Class Analysis
Balkan Medical Journal, 2023 Background: Recent studies have shown that anticoagulant therapy has heterogeneous treatment effects on patients with sepsis-induced coagulopathy (SIC). Aims: To identify the latent phenotypes of patients with SIC.
Dan Cai +3 more
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The Use of Loglinear Models for Assessing Differential Item Functioning Across Manifest and Latent Examinee Groups [PDF]
, 1990 Loglinear latent class models are used to detect differential item functioning (DIF). These models are formulated in such a manner that the attribute to be assessed may be continuous, as in a Rasch model, or categorical, as in Latent Class Mastery models.
Kelderman, Henk, Macready, George B.
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Latent Class Analysis and Latent Profile Analysis [PDF]
, 2015 Latent class analysis (LCA) and latent profile analysis (LPA) are powerful techniques that enable researchers to glean insights into “hidden” psychological experiences to create typologies and profiles to provide better-informed community-based policies and practice.
Williams, GA, Kibowski, F
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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. +2 more
openaire +3 more sources
Science Education International, 2021 The present study investigated the association of students’ fundamental ideas and misconceptions about ontological features of atom identity and behavior with the formation of their portrayed representations of the atomic structure. Participants (n = 421)
Nikolaos Zarkadis +2 more
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Variational Bayesian multinomial probit regression with Gaussian process priors [PDF]
, 2005 It is well known in the statistics literature that augmenting binary and polychotomous response models with Gaussian latent variables enables exact Bayesian analysis via Gibbs sampling from the parameter posterior.
Girolami, M., Rogers, S.
core +4 more sources
Frontiers in Public Health, 2019 Background: Health behaviors are of great importance for public health. Previous research shows that health behaviors are clustered and do not occur by chance.
Matthias Rabel +9 more
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Gambling Subgroups among Korean Out-of-school Adolescents [PDF]
Child Health Nursing Research, 2020 Purpose The number of Korean adolescents engaging in gambling is increasing, especially among out-of-school adolescents. This study aimed to identify patterns of gambling activities and factors related to specific subgroups of out-of-school adolescent ...
Kyonghwa Kang +2 more
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Mixture of latent trait analyzers for model-based clustering of categorical data [PDF]
, 2013 Model-based clustering methods for continuous data are well established and commonly used in a wide range of applications. However, model-based clustering methods for categorical data are less standard. Latent class analysis is a commonly used method for
A. Frank +49 more
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Multimorbidity patterns and associated factors in a megacity: a cross-sectional study [PDF]
Revista de Saúde PúblicaOBJECTIVE To identify empirical patterns of multimorbidity and quantify their associations with socioeconomic, behavioral characteristics, and health outcomes in the megacity of São Paulo.
Ricardo Goes de Aguiar +5 more
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