Latent trajectory modelling of multivariate binary data

DOI10.1177/1471082X0800900302OpenAlexW2022470931WikidataQ60700722 ScholiaQ60700722MaRDI QIDQ4970918

Gillian Z. Heller, Ken J. Beath

Publication date: 7 October 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x0800900302

zbMATH Keywords

multilevellongitudinalrandom effectslatent classlatent trajectory

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• R
• Latent GOLD
• randomLCA

Cites Work

• Unnamed Item
• Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects
• Efficient estimation and local identification in latent class analysis
• Estimating the dimension of a model
• Latent class and finite mixture models for multilevel data sets
• How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis
• Random Effects Models in Latent Class Analysis for Evaluating Accuracy of Diagnostic Tests
• Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm

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