Dynamic Latent Class Structural Equation Modeling: A Hands-On Tutorial for Modeling Intensive Longitudinal Data
Fuente:
arXiv
Guardado en:
| Autores principales: | Faleh, Roberto, Morelli, Sofia, Andriamiarana, Vivato, Roman, Zachary J., Flückiger, Christoph, Brandt, Holger |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
RAPSEM: Identifying Latent Mediators Without Sequential Ignorability via a Rank-Preserving Structural Equation Model
por: Morelli, Sofia, et al.
Publicado: (2025)
por: Morelli, Sofia, et al.
Publicado: (2025)
Reconciling Latent Variables and Networks: Exploring and extending the Psychometric-Toolbox
por: Kistermann, Kevin, et al.
Publicado: (2026)
por: Kistermann, Kevin, et al.
Publicado: (2026)
Examination of Nonlinear Longitudinal Processes with Latent Variables, Latent Processes, Latent Changes, and Latent Classes in the Structural Equation Modeling Framework: The R package nlpsem
por: Liu, Jin
Publicado: (2023)
por: Liu, Jin
Publicado: (2023)
Dynamic Causal Mediation Analysis for Intensive Longitudinal Data
por: Qian, Tianchen
Publicado: (2025)
por: Qian, Tianchen
Publicado: (2025)
Ordinal Outcome State-Space Models for Intensive Longitudinal Data
por: Henry, Teague R., et al.
Publicado: (2023)
por: Henry, Teague R., et al.
Publicado: (2023)
Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data
por: Fisher, Zachary F., et al.
Publicado: (2020)
por: Fisher, Zachary F., et al.
Publicado: (2020)
Dynamic Modeling of Sparse Longitudinal Data and Functional Snippets With Stochastic Differential Equations
por: Zhou, Yidong, et al.
Publicado: (2023)
por: Zhou, Yidong, et al.
Publicado: (2023)
A Continuous-Time Dynamic Factor Model for Intensive Longitudinal Data Arising from Mobile Health Studies
por: Abbott, Madeline R., et al.
Publicado: (2023)
por: Abbott, Madeline R., et al.
Publicado: (2023)
A Latent Class Bayesian Model for Multivariate Longitudinal Outcomes with Excess Zeros
por: Chakraborty, Chitradipa, et al.
Publicado: (2025)
por: Chakraborty, Chitradipa, et al.
Publicado: (2025)
Exact Simulation of Longitudinal Data from Marginal Structural Models
por: Lin, Xi, et al.
Publicado: (2025)
por: Lin, Xi, et al.
Publicado: (2025)
Identifiability of Latent Class Models with Covariates
por: Ouyang, Jing, et al.
Publicado: (2021)
por: Ouyang, Jing, et al.
Publicado: (2021)
A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
por: Yu, Mingyan, et al.
Publicado: (2024)
por: Yu, Mingyan, et al.
Publicado: (2024)
On an EM-based closed-form solution for 2 parameter IRT models
por: Noventa, Stefano, et al.
Publicado: (2024)
por: Noventa, Stefano, et al.
Publicado: (2024)
Modeling Covariate Feedback, Reversal, and Latent Traits in Longitudinal Data: A Joint Hierarchical Framework
por: Ramezani, Niloofar, et al.
Publicado: (2026)
por: Ramezani, Niloofar, et al.
Publicado: (2026)
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure
por: Zhang, Zhiyue, et al.
Publicado: (2024)
por: Zhang, Zhiyue, et al.
Publicado: (2024)
A Tutorial on Symbolic Structural Identifiability Analysis of ODE Models in Julia
por: Alsammani, Abdallah
Publicado: (2026)
por: Alsammani, Abdallah
Publicado: (2026)
Goodness-of-Fit Tests for Latent Class Models with Ordinal Categorical Data
por: Qing, Huan
Publicado: (2026)
por: Qing, Huan
Publicado: (2026)
A Bayesian Dynamic Latent Space Model for Weighted Networks
por: Casarin, Roberto, et al.
Publicado: (2026)
por: Casarin, Roberto, et al.
Publicado: (2026)
Robust Semiparametric Graphical Models with Skew-Elliptical Distributions
por: Di Luzio, Gabriele, et al.
Publicado: (2025)
por: Di Luzio, Gabriele, et al.
Publicado: (2025)
A Tutorial for Evaluating Cure Model Appropriateness
por: Mudunkotuwa, A Tutorial for Evaluating Cure Model Appropriateness Geethanjalee, et al.
Publicado: (2026)
por: Mudunkotuwa, A Tutorial for Evaluating Cure Model Appropriateness Geethanjalee, et al.
Publicado: (2026)
Flexible Models for Simple Longitudinal Data
por: Ogden, Helen
Publicado: (2024)
por: Ogden, Helen
Publicado: (2024)
Without Pain -- Clustering Categorical Data Using a Bayesian Mixture of Finite Mixtures of Latent Class Analysis Models
por: Malsiner-Walli, Gertraud, et al.
Publicado: (2024)
por: Malsiner-Walli, Gertraud, et al.
Publicado: (2024)
A Restricted Latent Class Model with Polytomous Attributes and Respondent-Level Covariates
por: Wayman, Eric Alan, et al.
Publicado: (2024)
por: Wayman, Eric Alan, et al.
Publicado: (2024)
Social Interactions Models with Latent Structures
por: Lin, Zhongjian, et al.
Publicado: (2026)
por: Lin, Zhongjian, et al.
Publicado: (2026)
"Spatial Joint Models through Bayesian Structured Piece-wise Additive Joint Modelling for Longitudinal and Time-to-Event Data"
por: Rappl, Anja, et al.
Publicado: (2023)
por: Rappl, Anja, et al.
Publicado: (2023)
Robust Sequential Hypothesis Testing with Generalized Estimating Equations for Incomplete Clustered and Longitudinal Data
por: Provost, Nathan T., et al.
Publicado: (2026)
por: Provost, Nathan T., et al.
Publicado: (2026)
Efficient Bayesian Estimation of Dynamic Structural Equation Models via State Space Marginalization
por: Sørensen, Øystein
Publicado: (2026)
por: Sørensen, Øystein
Publicado: (2026)
Multi-relational Network Autoregression Model with Latent Group Structures
por: Ren, Yimeng, et al.
Publicado: (2024)
por: Ren, Yimeng, et al.
Publicado: (2024)
Sequential Confirmatory Factor Analysis: A Novel Approach to Latent Variable Measurement
por: Johnson, Zachary Esses
Publicado: (2025)
por: Johnson, Zachary Esses
Publicado: (2025)
Semiparametric Mixed-effects Model for Longitudinal Data with Non-normal Errors
por: Taavoni, Mozhgan, et al.
Publicado: (2022)
por: Taavoni, Mozhgan, et al.
Publicado: (2022)
Variational Bayes for Mixture of Gaussian Structural Equation Models
por: Dang, Khue-Dung, et al.
Publicado: (2024)
por: Dang, Khue-Dung, et al.
Publicado: (2024)
Copula Structural Equation Models for Mediation Pathway Analysis
por: Chen, Canyi, et al.
Publicado: (2025)
por: Chen, Canyi, et al.
Publicado: (2025)
Hierarchical Latent Class Models for Mortality Surveillance Using Partially Verified Verbal Autopsies
por: Zhu, Yu, et al.
Publicado: (2024)
por: Zhu, Yu, et al.
Publicado: (2024)
Learning Optimal Dynamic Treatment Regimes from Longitudinal Data
por: Williams, Nicholas T., et al.
Publicado: (2024)
por: Williams, Nicholas T., et al.
Publicado: (2024)
Smooth Transformation Models for Survival Analysis: A Tutorial Using R
por: Siegfried, Sandra, et al.
Publicado: (2024)
por: Siegfried, Sandra, et al.
Publicado: (2024)
A Hybrid Latent-Class Item Response Model for Detecting Measurement Non-Invariance in Ordinal Scales
por: Wallin, Gabriel, et al.
Publicado: (2026)
por: Wallin, Gabriel, et al.
Publicado: (2026)
Individualized Dynamic Mediation Analysis Using Latent Factor Models
por: Zhang, Yijiao, et al.
Publicado: (2024)
por: Zhang, Yijiao, et al.
Publicado: (2024)
Bias-Reduced Estimation of Structural Equation Models
por: Jamil, Haziq, et al.
Publicado: (2025)
por: Jamil, Haziq, et al.
Publicado: (2025)
Longitudinal Data Clustering with a Copula Kernel Mixture Model
por: Zhang, Xi, et al.
Publicado: (2023)
por: Zhang, Xi, et al.
Publicado: (2023)
Multi-state Models For Disease Histories Based On Longitudinal Data
por: Wiegrebe, Simon, et al.
Publicado: (2025)
por: Wiegrebe, Simon, et al.
Publicado: (2025)
Ejemplares similares
-
RAPSEM: Identifying Latent Mediators Without Sequential Ignorability via a Rank-Preserving Structural Equation Model
por: Morelli, Sofia, et al.
Publicado: (2025) -
Reconciling Latent Variables and Networks: Exploring and extending the Psychometric-Toolbox
por: Kistermann, Kevin, et al.
Publicado: (2026) -
Examination of Nonlinear Longitudinal Processes with Latent Variables, Latent Processes, Latent Changes, and Latent Classes in the Structural Equation Modeling Framework: The R package nlpsem
por: Liu, Jin
Publicado: (2023) -
Dynamic Causal Mediation Analysis for Intensive Longitudinal Data
por: Qian, Tianchen
Publicado: (2025) -
Ordinal Outcome State-Space Models for Intensive Longitudinal Data
por: Henry, Teague R., et al.
Publicado: (2023)