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Modelling heterogeneity variances in multiple treatment comparison meta-analysis – Are informative priors the better solution?
BACKGROUND: Multiple treatment comparison (MTC) meta-analyses are commonly modeled in a Bayesian framework, and weakly informative priors are typically preferred to mirror familiar data driven frequentist approaches. Random-effects MTCs have commonly modeled heterogeneity under the assumption that t...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3554418/ https://ncbi.nlm.nih.gov/pubmed/23311298 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2288-13-2 |
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