Multivariate longitudinal data analysis with mixed effects hidden Markov models

DOI10.1111/biom.12296zbMath1419.62428OpenAlexW2128898088WikidataQ30908696 ScholiaQ30908696MaRDI QIDQ2803508

Joel A. Dubin, Jesse D. Raffa

Publication date: 4 May 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10012/7255

zbMATH Keywords

longitudinal datahidden Markov modelMarkov chain Monte Carlomultivariate responsesmoking cessationhidden disease state

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Markov processes: estimation; hidden Markov models (62M05)

Related Items (4)

Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers ⋮ Bayesian latent multi‐state modeling for nonequidistant longitudinal electronic health records ⋮ A Bayesian accelerated failure time model for interval censored three-state screening outcomes ⋮ Multivariate hidden semi-Markov models for longitudinal data: a dynamic regression modeling

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