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Modeling Longitudinal Data with Nonparametric Multiplicative Random Effects Jointly with Survival Data
In clinical studies, longitudinal biomarkers are often used to monitor disease progression and failure time. Joint modeling of longitudinal and survival data has certain advantages and has emerged as an effective way to mutually enhance information. Typically, a parametric longitudinal model is assu...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2007
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2660247/ https://ncbi.nlm.nih.gov/pubmed/17888040 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2007.00896.x |
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