… , studies that used latent class growth analysis to create classes of … out latent transition
analysis (a longitudinal extension to latent class analysis), providing they reported latent class …

… We provide an application of LCA to empirical data collected from a … a latent class model.
This article aims to describe and interpret results of LCA, allowing users to replicate the analysis…

… Surveys (self‐report) were used to assess chronic conditions, and latent class analysis (
LCA ) was used to define multimorbidity classes based on the presence or absence of 13 …

Latent class analysis was applied to the sample data to identify homogenous subtypes or
classes of self‐injurious thoughts and behavior ( SITB ) based on indicators indexing suicide …

… latent class analyses for identifying and treating unobserved heterogeneity has also gained
momentum. Researchers have introduced various latent class … -PLS applications published …

… Latent class analysis was used to identify patterning based on eight salient health-risk
behaviours (marijuana use, other illicit drug use, risky sex, smoking, binge drinking, poor diet, …

Abstract: Latent class analysis is a statistical technique used to identify subtypes of related
cases. In the method, statistic model is built according to relationship between categorical …

… dietary data, latent class analysis (LCA), to … latent class estimation algorithm and by
accounting for the complex sample design through the use of jackknife standard errors. A two-class …

… The application of LCA is an active area of research and continues to evolve. As more … ,
and provide an example of its application. Latent class analysis (LCA) is a statistical procedure …

… In contrast, this study used Latent Class Analysis (LCA) which allowed for the simultaneous
consideration of this relationship. To the best of our knowledge, no prior work has attempted …