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An Approximate Joint Model for Multiple Paired Longitudinal Outcomes and Time-to-Event Data
Joint modeling of multivariate paired longitudinal data and time-to-event data presents computational challenges that supersede full likelihood estimation due to the large dimensional random effects vector needed to capture correlation due to clustering with respect to pairs, subjects, and outcomes....
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| 出版年: | Biometrics |
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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/PMC7592178/ https://ncbi.nlm.nih.gov/pubmed/29492955 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12862 |
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