Results 31 to 40 of about 254,793 (285)
, 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
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Serum Cystatin C Trajectory Is a Marker Associated With Diabetic Kidney Disease
Frontiers in Endocrinology, 2022 ObjectiveTo explore the association of the trajectory of serum Cystatin C (Cysc) with diabetic kidney disease (DKD), a retrospective cohort study of Chinese subjects was carried out.MethodA review of 2,928 diabetes mellitus (DM) patients admitted to the ...
Nana Wang +5 more
doaj +1 more source
Modeling Endogenous Mobility in Wage Determination [PDF]
, 2015 We evaluate the bias from endogenous job mobility in fixed-effects estimates of worker- and firm-specific earnings heterogeneity using longitudinally linked employer-employee data from the LEHD infrastructure file system of the U.S. Census Bureau. First,
Abowd, John M +2 more
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Variable assessment in latent class models [PDF]
Computational Statistics & Data Analysis, 2014 The latent class model provides an important platform for jointly modeling mixed-mode data - i.e., discrete and continuous data with various parametric distributions. Multiple mixed-mode variables are used to cluster subjects into latent classes. While the mixed-mode latent class analysis is a powerful tool for statisticians, few studies are focused on
Zhang, Q., Ip, E. H.
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Identifiability of Latent Class Models with Covariates
Psychometrika, 2022 AbstractLatent class models with covariates are widely used for psychological, social, and educational research. Yet the fundamental identifiability issue of these models has not been fully addressed. Among the previous research on the identifiability of latent class models with covariates, Huang and Bandeen-Roche (Psychometrika 69:5–32, 2004) studied ...
Jing Ouyang, Gongjun Xu
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Heliyon, 2022 Introduction: The progression of complications of type 2 diabetes (T2D) is unique to each patient and can be depicted through individual temporal trajectories.
Sarah O'Connor +5 more
doaj +1 more source
, 2016 We discuss Bayesian analysis of multivariate time series with dynamic factor models that exploit time-adaptive sparsity in model parametrizations via the latent threshold approach.
Nakajima, Jouchi, West, Mike
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BMC Pulmonary Medicine, 2022 Background The depressive symptom trajectories of COPD individuals and its’ predictors remain to be established. Therefore, this study aimed to explore the trajectories of depressive symptoms and predictors thereof in COPD patients.
Cui Wang +4 more
doaj +1 more source
Lifestyle Journal, 2022 Purpose: The objective of this study is to analyze the relationships between material, or frugal, consumption and the congruence between personal and spiritual life, mediated by the search for well-being, generating a segmentation proposal ...
Jussara Cucato +3 more
doaj +1 more source
Molecular Oncology, EarlyView.We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source