Results 11 to 20 of about 1,520,947 (358)
Multimorbidity patterns in South Africa: A latent class analysis
Introduction South Africa has the largest burden of HIV worldwide and has a growing burden of non-communicable diseases; the combination of which may lead to diseases clustering in ways that are not seen in other regions.
R. Roomaney +3 more
semanticscholar +1 more source
The Role of Trust in Explaining Food Choice: Combining Choice Experiment and Attribute Best−Worst Scaling [PDF]
This paper presents empirical findings from a combination of two elicitation techniques—discrete choice experiment (DCE) and best–worst scaling (BWS)—to provide information about the role of consumers’ trust in food choice decisions in the case of ...
Hartmann, Monika +2 more
core +1 more source
Latent Class Analysis: A Guide to Best Practice
Latent class analysis (LCA) is a statistical procedure used to identify qualitatively different subgroups within populations who often share certain outward characteristics.
B. Weller, N. Bowen, Sarah J. Faubert
semanticscholar +1 more source
Rationale Two distinct subphenotypes have been identified in acute respiratory distress syndrome (ARDS), but the presence of subgroups in ARDS associated with coronavirus disease (COVID-19) is unknown.
P. Sinha +24 more
semanticscholar +1 more source
Latent class analysis of IPOs in the Nordics
We examine how the offer size of initial public offerings (IPOs) and the market return on their issue date are related to the pricing of 314 IPOs issued by firms in Denmark, Finland, Norway and Sweden at the one-day, one-week and four-week horizons using
Mikael Bask, Anton Läck Nätter
doaj +2 more sources
Practitioner's Guide to Latent Class Analysis: Methodological Considerations and Common Pitfalls.
Latent class analysis is a probabilistic modeling algorithm that allows clustering of data and statistical inference. There has been a recent upsurge in the application of latent class analysis in the fields of critical care, respiratory medicine, and ...
P. Sinha, C. Calfee, K. Delucchi
semanticscholar +1 more source
glca: An R Package for Multiple-Group Latent Class Analysis
Group similarities and differences may manifest themselves in a variety of ways in multiple-group latent class analysis (LCA). Sometimes, measurement models are identical across groups in LCA.
Youngsung Kim +3 more
semanticscholar +1 more source
Latent class (LC) analysis is a widely used method for extracting meaningful groups (LCs) from data. The basic concept was introduced by Paul Lazarsfeld in 1950 for building typologies (or clusters) from dichotomous variables as part of his more general latent structure analysis.
Magidson, Jay +2 more
openaire +2 more sources
Background and aims The present longitudinal study examined the changes in problematic internet use (problematic smartphone use, problematic social media use, and problematic gaming) and changes in COVID-19-related psychological distress (fear of COVID ...
I. chen +9 more
semanticscholar +1 more source
Swedish rape offenders — a latent class analysis
Sweden has witnessed an increase in the rates of sexual crimes including rape. Knowledge of who the offenders of these crimes are is therefore of importance for prevention.
Ardavan Khoshnood +3 more
doaj +1 more source

