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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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| 出版年: | Comput Stat Data Anal |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | 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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