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Causal Inference for Bivariate Longitudinal Quality of Life Data in Presence of Death Using Global Odds Ratios
In longitudinal clinical trials, if a subject drops out due to death, certain responses, such as those measuring quality of life (QOL), will not be defined after the time of death. Thus, standard missing data analyses, e.g., under ignorable dropout, are problematic because these approaches implicitl...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3935993/ https://ncbi.nlm.nih.gov/pubmed/23720372 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5857 |
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