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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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Bibliografski detalji
Izdano u:Res Synth Methods
Glavni autori: Hong, Hwanhee, Chu, Haitao, Zhang, Jing, Carlin, Bradley P.
Format: Artigo
Jezik:Inglês
Izdano: 2015
Teme:
Online pristup: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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