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A Bayesian missing data framework for generalized multiple outcome mixed treatment comparisons
Bayesian statistical approaches to mixed treatment comparisons (MTCs) are becoming more popular due to their flexibility and interpretability. Many randomized clinical trials report multiple outcomes with possible inherent correlations. Moreover, MTC data are typically sparse (though richer than sta...
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| Publicado en: | Res Synth Methods |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2015
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4779385/ https://ncbi.nlm.nih.gov/pubmed/26536149 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/jrsm.1153 |
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