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Multimethod Latent Class Analysis

Frontiers in Psychology, 2015
Correct and, hence, valid classifications of individuals are of high importance in the social sciences as these classifications are the basis for diagnoses and / or the assignment to a treatment.
Fridtjof W Nussbeck, Michael eEid
doaj   +1 more source

Growth trajectories in lipid profile and fasting blood sugar in prediabetic people over a 16- year follow-up and future risk of type2 diabetes mellitus: A latent growth modeling approach

Alexandria Journal of Medicine, 2022
Introduction The current study aimed to investigate whether the pattern of changes in lipid profile and fasting blood sugar (FBS) can predict the future risk of type 2 diabetes mellitus (T2DM) incidence in prediabetic people.Methods In a prospective ...
Awat Feizi, Fahimeh Haghighatdoost, Parisa Zakeri, Ashraf Aminorroaya, Masoud Amini   +4 more
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Dependent Latent Class Models

Bayesian Analysis, 2022
Latent Class Models (LCMs) are used to cluster multivariate categorical data (e.g. group participants based on survey responses). Traditional LCMs assume a property called conditional independence. This assumption can be restrictive, leading to model misspecification and overparameterization.
Bowers, Jesse, Culpepper, Steve
openaire   +3 more sources

Latent Class Analysis with Arbitrary-Distribution Responses

Entropy
The latent class model has been proposed as a powerful tool in understanding human behavior for various fields such as social, psychological, behavioral, and biological sciences.
Huan Qing, Xiaofei Xu
doaj   +1 more source

Cluster Individuals Based on Phenotype and Determine the Risk for Atrial Fibrillation in the PREVEND and Framingham Heart Study Populations.

PLoS ONE, 2016
BackgroundRisk prediction of atrial fibrillation (AF) is of importance to improve the early diagnosis and treatment of AF. Latent class analysis takes into account the possible existence of classes of individuals each with shared risk factors, and maybe ...
Michiel Rienstra, Bastiaan Geelhoed, Xiaoyan Yin, Joylene E Siland, Rob A Vermond, Bart A Mulder, Pim Van Der Harst, Hans L Hillege, Emelia J Benjamin, Isabelle C Van Gelder   +9 more
doaj   +1 more source

Bourdieu, gli onnivori, i post-moderni e le pratiche culturali

Quaderni di Sociologia, 2010
Both “highbrow omnivorousness” hypothesis and “postmodern” thesis claim that Bourdieu’s homology theory fails to predict the relationship between social position and lifestyle.
Marco Terraneo
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A New Formulation for Latent Class Models [PDF]

SSRN Electronic Journal, 2014
Latent class, or finite mixture, modelling has proved a very popular, and relatively easy, way of introducing much-needed heterogeneity into empirical models right across the social sciences. The technique involves (probabilistically) splitting the population into a finite number of (relatively homogeneous) classes, or types.
Sarah Brown, William Greene, Mark N. Harris   +2 more
openaire   +4 more sources

Patterns of physical activity in sedentary older individuals with type 2 diabetes

Clinical Diabetes and Endocrinology, 2018
Background The Community Healthy Activities Model Program for Seniors (CHAMPS) survey, summarized into weekly caloric expenditures, is a common physical activity (PA) assessment tool among older adults.
Pearl G. Lee, Jinkyung Ha, Caroline S. Blaum, Kimberlee Gretebeck, Neil B. Alexander   +4 more
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Patterns of adverse childhood experiences and depressive symptom trajectories in young adults: A longitudinal study of college students in China

Frontiers in Psychiatry, 2022
BackgroundAdverse childhood experiences (ACEs) tend to cluster together in daily life, and most studies focus on the level of depression at certain points, but the dynamic process of depression is often neglected.
Shuqin Li, Shuqin Li, Rui Wang, Erica Thomas, Zhicheng Jiang, Zhicheng Jiang, Zhengge Jin, Zhengge Jin, Ruoyu Li, Ruoyu Li, Yan Qian, Xianbing Song, Ying Sun, Ying Sun, Shichen Zhang, Shichen Zhang, Ruoling Chen, Yuhui Wan, Yuhui Wan   +18 more
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Latent tree models

, 2017
Latent tree models are graphical models defined on trees, in which only a subset of variables is observed. They were first discussed by Judea Pearl as tree-decomposable distributions to generalise star-decomposable distributions such as the latent class ...
Zwiernik, Piotr
core   +1 more source