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Jointly modeling the relationship between longitudinal and survival data subject to left truncation with applications to cystic fibrosis
Numerous methods for joint analysis of longitudinal measures of a continuous outcome y and a time to event outcome T have recently been developed either to focus on the longitudinal data y while correcting for nonignorable dropout, to predict the survival outcome T using the longitudinal data y, or...
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| Publicado no: | Stat Med |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5551379/ https://ncbi.nlm.nih.gov/pubmed/22786556 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5469 |
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