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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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Hauptverfasser: | , , , |
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Format: | Artigo |
Sprache: | Inglês |
Veröffentlicht: |
2013
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Schlagworte: | |
Online Zugang: | 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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