Results 11 to 20 of about 254,793 (285)
BMC Geriatrics, 2022 Background There is no study on the frailty trajectory including both middle-aged and older people, and the understanding of the long-term frailty trajectory is insufficient.
Ah Ram Jang, Hae Sagong, Ju Young Yoon
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Latent Class-Conditional Noise Model
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Learning with noisy labels has become imperative in the Big Data era, which saves expensive human labors on accurate annotations. Previous noise-transition-based methods have achieved theoretically-grounded performance under the Class-Conditional Noise model (CCN).
Jiangchao Yao +4 more
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The Q-Matrix Anchored Mixture Rasch Model
Frontiers in Psychology, 2021 Mixture item response theory (IRT) models include a mixture of latent subpopulations such that there are qualitative differences between subgroups but within each subpopulation the measure model based on a continuous latent variable holds.
Ming-Chi Tseng, Wen-Chung Wang
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Exploring Class Enumeration in Bayesian Growth Mixture Modeling Based on Conditional Medians
Frontiers in Education, 2021 Growth mixture modeling is a popular analytic tool for longitudinal data analysis. It detects latent groups based on the shapes of growth trajectories.
Seohyun Kim, Xin Tong, Zijun Ke
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Development of Social Skills in Kindergarten: A Latent Class Growth Modeling Approach
Children, 2021 Social skills acquired during early childhood are often the foundation for success later in life. Using a nationwide survey dataset in Japan, this study aims to explore the multiple growth trajectories of social skills among children in kindergarten by ...
Yan-Tong Zhu +10 more
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Systematic Reviews, 2022 Background The group-based trajectory modeling (GBTM) method is increasingly used in pharmacoepidemiologic studies to describe medication adherence trajectories over time.
Victoria Memoli +5 more
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Bayesian Latent Class Analysis: Sample Size, Model Size, and Classification Precision
Mathematics, 2023 The current literature includes limited information on the classification precision of Bayes estimation for latent class analysis (BLCA). (1) Objectives: The present study compared BLCA with the robust maximum likelihood (MLR) procedure, which is the ...
Diana Mindrila
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Evidence of associations between cytokine genes and subjective reports of sleep disturbance in oncology patients and their family caregivers. [PDF]
PLoS ONE, 2012 The purposes of this study were to identify distinct latent classes of individuals based on subjective reports of sleep disturbance; to examine differences in demographic, clinical, and symptom characteristics between the latent classes; and to evaluate ...
Christine Miaskowski +12 more
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Spotlight the Negatives: A Generalized Discriminative Latent Model [PDF]
, 2015 Discriminative latent variable models (LVM) are frequently applied to various visual recognition tasks. In these systems the latent (hidden) variables provide a formalism for modeling structured variation of visual features.
Arefiyan, Mostafa +3 more
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Latent Class Probabilistic Latent Feature Analysis of Three-Way Three-Mode Binary Data
Journal 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
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