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A Bayesian Semiparametric Model for Bivariate Sparse Longitudinal Data

Mixed effects models have recently become popular for analyzing sparse longitudinal data that arise naturally in biological, agricultural and bio-medical studies. Traditional approaches assume independent residuals over time and explain the longitudinal dependence by random effects. However, when bi...

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Hlavní autoři: Das, Kiranmoy, Li, Runze, Sengupta, Subhajit, Wu, Rongling
Médium: Artigo
Jazyk:Inglês
Vydáno: 2013
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3740051/
https://ncbi.nlm.nih.gov/pubmed/23553747
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5790
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