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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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Dades bibliogràfiques
Publicat a:Res Synth Methods
Autors principals: Hong, Hwanhee, Chu, Haitao, Zhang, Jing, Carlin, Bradley P.
Format: Artigo
Idioma:Inglês
Publicat: 2015
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Accés en línia: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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