Multivariate disease progression modeling with longitudinal ordinal data

DOI10.1002/SIM.9770zbMATH Open1547.62414MaRDI QIDQ6626838

Stanley Durrleman, Pierre-Emmanuel Poulet

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

ordinal datanonlinear mixed-effect modeldisease progression modeling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Random-Effects Models for Longitudinal Data
• Toward a comprehensive framework for the spatiotemporal statistical analysis of longitudinal shape data
• Coupling a stochastic approximation version of EM with an MCMC procedure
• Dynamic modeling of multivariate dimensions and their temporal relationships using latent processes: Application to Alzheimer's disease
• A Bayesian nonparametric approach to dynamic item-response modeling: an application to the GUSTO cohort study

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