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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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| Опубликовано в: : | Res Synth Methods |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2015
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| Предметы: | |
| Online-ссылка: | 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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