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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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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2013
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| Предметы: | |
| Online-ссылка: | 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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