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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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Bibliographische Detailangaben
Veröffentlicht in:Res Synth Methods
Hauptverfasser: Hong, Hwanhee, Chu, Haitao, Zhang, Jing, Carlin, Bradley P.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2015
Schlagworte:
Online Zugang: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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