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Bayesian modeling of the covariance structure for irregular longitudinal data using the partial autocorrelation function
In long-term follow-up studies, irregular longitudinal data are observed when individuals are assessed repeatedly over time but at uncommon and irregularly spaced time points. Modeling the covariance structure for this type of data is challenging, as it requires specification of a covariance functio...
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| Veröffentlicht in: | Stat Med |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
John Wiley & Sons, Ltd
2015
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4420715/ https://ncbi.nlm.nih.gov/pubmed/25762065 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6465 |
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