Results 21 to 30 of about 1,520,947 (358)

Latent Class Analysis-Derived Subphenotypes are Generalizable to Observational Cohorts of Acute Respiratory Distress Syndrome: A Prospective Study

open access: yesThorax, 2021
Rationale Using latent class analysis (LCA), two subphenotypes of acute respiratory distress syndrome (ARDS) have consistently been identified in five randomised controlled trials (RCTs), with distinct biological characteristics, divergent outcomes and ...
P. Sinha   +19 more
semanticscholar   +1 more source

Initial risk factors, self-compassion trajectories, and well-being outcomes during the COVID-19 pandemic: A person-centered approach

open access: yesFrontiers in Psychology, 2023
IntroductionWe investigated whether initial risk classes and heterogeneous trajectories of self-compassion over the course of the pandemic may impact well-being outcomes 1 year into the pandemic.MethodsA large, representative sample of Canadians (N = 3 ...
Hali Kil   +8 more
doaj   +1 more source

A primer to latent profile and latent class analysis

open access: yes, 2021
This chapter gives an applied introduction to latent profile and latent class analysis (LPA/LCA). LPA/LCA are model-based methods for clustering individuals in unobserved groups. Their primary goals are probing whether and, if so, how many latent classes
Johannes Bauer
semanticscholar   +1 more source

Bayesian latent class analysis when the reference test is imperfect.

open access: yesRevue scientifique et technique, 2021
Latent class analysis (LCA) has allowed epidemiologists to overcome the practical constraints faced by traditional diagnostic test evaluation methods, which require both a gold standard diagnostic test and ample numbers of appropriate reference samples ...
A. Cheung   +6 more
semanticscholar   +1 more source

Sepsis-induced Coagulopathy Subphenotype Identification by Latent Class Analysis

open access: yesBalkan 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
doaj   +1 more source

Digital Technology and Media Use by Adolescents: Latent Class Analysis

open access: yesJMIR Pediatrics and Parenting, 2022
Background Digital technology and media use is integral to adolescents’ lives and has been associated with both positive and negative health consequences.
M. Moreno   +5 more
semanticscholar   +1 more source

The Use of Loglinear Models for Assessing Differential Item Functioning Across Manifest and Latent Examinee Groups [PDF]

open access: yes, 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.
core   +4 more sources

Ten Frequently Asked Questions About Latent Class Analysis

open access: yesTranslational Issues in Psychological Science, 2018
Latent class analysis (LCA) is a statistical method used to identify unobserved subgroups in a population with a chosen set of indicators. Given the increasing popularity of LCA, our aim is to equip psychological researchers with the theoretical and ...
Karen Nylund-Gibson, A. Choi
semanticscholar   +1 more source

Latent Class Analysis and Latent Profile Analysis [PDF]

open access: yes, 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
openaire   +1 more source

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