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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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| Publicado no: | Biometrics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | 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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