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Joint modeling of longitudinal outcomes and survival using latent growth modeling approach in a mesothelioma trial
Joint modeling of longitudinal and survival data can provide more efficient and less biased estimates of treatment effects through accounting for the associations between these two data types. Sponsors of oncology clinical trials routinely and increasingly include patient-reported outcome (PRO) inst...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2012
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384782/ https://www.ncbi.nlm.nih.gov/pubmed/22773919 http://dx.doi.org/10.1007/s10742-012-0092-z |