Results 21 to 30 of about 1,520,947 (358)
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
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
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.
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
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
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]
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
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]
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
Patterns and Factors of Intrinsic Capacity Impairment in Older Adults with Chronic Diseases: A Latent Class Analysis. [PDF]
Zhang Y +7 more
europepmc +3 more sources

