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Bayesian Functional Joint Models for Multivariate Longitudinal and Time-to-Event Data
A multivariate functional joint model framework is proposed which enables the repeatedly measured functional outcomes, scalar outcomes, and survival process to be modeled simultaneously while accounting for association among the multiple (functional and scalar) longitudinal and survival processes. T...
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| Veröffentlicht in: | Comput Stat Data Anal |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6294314/ https://ncbi.nlm.nih.gov/pubmed/30559575 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2018.07.015 |
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