Dynamic latent trait models with mixed hidden Markov structure for mixed longitudinal outcomes

DOI10.1080/02664763.2015.1077373OpenAlexW2241065315WikidataQ45199415 ScholiaQ45199415MaRDI QIDQ5138030

Kiros Berhane, Yue Zhang

Publication date: 3 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5695931

zbMATH Keywords

latent variablejoint modelingtransition modeldifferential misclassificationmixed hidden Markov modelmixed longitudinal outcomes

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• WinBUGS
• BayesDA

Cites Work

• Unnamed Item
• Inference from iterative simulation using multiple sequences
• Generalized latent trait models
• Latent Transition Regression for Mixed Outcomes
• A Random-Effects Model for Multiple Characteristics With Possibly Missing Data
• Dynamic Latent Trait Models for Multidimensional Longitudinal Data
• Latent Variable Models for Longitudinal Data with Multiple Continuous Outcomes
• Latent Class Model Diagnosis
• Bayesian Measures of Model Complexity and Fit
• Efficiency and Power of Tests for Multiple Binary Outcomes
• Mixed Hidden Markov Models
• A case study on the choice, interpretation and checking of multilevel models for longitudinal binary outcomes

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