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A Random Pattern Mixture Model for Ordinal Outcomes with Informative Dropouts
We extend a random pattern mixture joint model for longitudinal ordinal outcomes and informative dropouts. The patients are generalized to ”pattern” groups based on known covariates that are potential surrogated for the severity of the underlying condition. The random pattern effects are defined as...
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| Publié dans: | Stat Med |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2015
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4935089/ https://ncbi.nlm.nih.gov/pubmed/25894456 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6514 |
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