Results 21 to 30 of about 127,444 (251)

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 can be identified in the data, and to estimate the proportional size and response profiles of these
openaire   +2 more sources

Latent class models in financial data analysis

open access: yesStatistica, 2007
This paper deals with optimal international portfolio choice by developing a latent class approach based on the distinction between international and non-international investors.
Attilio Gardini   +2 more
doaj   +1 more source

Uncovering eHealth Engagement Patterns Through Latent Class Analysis and SHAP: A Data Mining Perspective on Telehealth Access

open access: yesInformation
Understanding how patients engage with digital health technologies is critical for improving the reach and equity of telehealth services. While prior research has largely focused on demographic predictors of telehealth use, this study applies a hybrid ...
Ning Yang, Xin Yang
doaj   +1 more source

Latent Class Probabilistic Latent Feature Analysis of Three-Way Three-Mode Binary Data

open access: yesJournal of Statistical Software, 2018
The analysis of binary three-way data (i.e., persons who indicate which attributes apply to each of a set of objects) may be of interest in several substantive domains as sensory profiling, marketing research or personality assessment.
Michel Meulders, Philippe De Bruecker
doaj   +1 more source

Identifying different phenotypes in takotsubo cardiomyopathy by latent class analysis

open access: yesESC Heart Failure, 2021
Aims This study sought to determine whether clinical clusters exist in takotsubo cardiomyopathy. Takotsubo cardiomyopathy (TCM) is a heterogeneous disorder with a complex, poorly understood pathogenesis.
Pengyang Li   +6 more
doaj   +1 more source

New Dimensions of Tolerance: A Case for a Broader, Categorical Approach [PDF]

open access: yesSociological Science, 2014
Most social scientific research on tolerance rests upon two assumptions: 1) that tolerance is mainly concerned with the extension of political rights, and 2) that the concept is best understood as a unidimensional continuum of attitudes that are more or ...
Darin M. Mather, Eric Tranby
doaj   +1 more source

Epigenetic blind spots – the role of DNA methylation dynamics in stem cell‐based models of embryogenesis

open access: yesFEBS Letters, EarlyView.
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil   +4 more
wiley   +1 more source

Fraction Errors in a Digital Mathematics Environment: Latent Class and Transition Analysis

open access: yesJournal of Numerical Cognition, 2019
Student struggles with fractions are well documented, and due to fractions’ importance to later mathematics achievement, identification of the errors students make when solving fraction problems is an area of interest for both researchers and teachers ...
Sarah Marina Karamarkovich   +1 more
doaj   +1 more source

Social position and anthropometric status among adults in the ELSA-Brasil study: a latent class analysis

open access: yesCadernos de Saúde Pública, 2021
: The objective of the present study was to evaluate the association between social position and anthropometric status in women and men Brazilian adult.
Sheila Maria Alvim Matos   +9 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

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