Results 51 to 60 of about 542,387 (197)
randomLCA: An R Package for Latent Class with Random Effects Analysis
Journal of Statistical Software, 2017 Latent class is a method for classifying subjects, originally based on binary outcome data but now extended to other data types. A major difficulty with the use of latent class models is the presence of heterogeneity of the outcome probabilities within ...
Ken J. Beath
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Modeling homophily and stochastic equivalence in symmetric relational data [PDF]
, 2007 This article discusses a latent variable model for inference and prediction of symmetric relational data. The model, based on the idea of the eigenvalue decomposition, represents the relationship between two nodes as the weighted inner-product of node ...
Hoff, Peter D.
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PEMODELAN TINGKAT INFLASI INDONESIA MENGGUNAKAN MARKOV SWITCHING AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICITY [PDF]
, 2015 The degree of disease dengue patients in early at the hospital is latent or unknown directly. Therefore it needs an indicator variables such as the examination of hematocrit, leukocytes and platelets to classify patients with dengue fever into classes ...
Wahyudi, Omy
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First in Class? The Performance of Latent Class Model [PDF]
Replaced with revised version of poster 07/22/11.Monte Carlo Simulations, Latent Class Model, Environmental Economics and Policy,
Chen, Min, Lupi, Frank
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BMC NursingBackground The evidence of preferences for infection prevention and control (IPC) intervention from system perspective was lacked. This study aimed to elicit nurses’ preferences for the intervention designed to improve IPC behaviors based on the Systems ...
Qian Zhou +7 more
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BMC Musculoskeletal Disorders, 2010 Background To identify incorrect beliefs and common knowledge about rheumatic diseases in the general population. Methods Participants were selected during the follow-up of a representative cohort of adult population of Porto, Portugal; 1626 participants
Severo Milton +3 more
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Frontiers in Applied Mathematics and StatisticsBackgroundIdentifying heterogeneity in longitudinal data is critical for understanding diverse trajectories in clinical and epidemiological research. Traditional analytical methods often fail to distinguish latent subpopulations.
Harrid Nkhoma +3 more
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Discrete Dynamics in Nature and Society, 2015 With the rapid development of urbanization and motorization, urban commute trips are becoming increasingly serious due to the unbalanced distribution of residence and workplace land-use types in most Chinese cities. To explore the inherent interrelations
Pengpeng Jiao, Meiqi Liu, Jin Guo
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Shyness in Chinese preschool children: a latent class growth model
Humanities & Social Sciences CommunicationsShyness is often linked to negative social adjustment, and children may exhibit various developmental patterns of social withdrawal behaviors at different stages.
Jingjing Zhu +5 more
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Extending dynamic segmentation with lead generation: A latent class Markov analysis of financial product portfolios [PDF]
A recent development in marketing research concerns the incorporation of dynamics in consumer segmentation.This paper extends the latent class Markov model, a suitable technique for conducting dynamic segmentation, in order to facilitate lead generation ...
Bijmolt, T.H.A. +2 more
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