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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 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
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
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
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Latent Class Probabilistic Latent Feature Analysis of Three-Way Three-Mode Binary Data
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
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Identifying different phenotypes in takotsubo cardiomyopathy by latent class analysis
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
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New Dimensions of Tolerance: A Case for a Broader, Categorical Approach [PDF]
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
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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
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
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: 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
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Modelling stem cell differentiation related processes—A practical overview for biologists
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

