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Evaluating the Impact of Prior Assumptions in Bayesian Biostatistics
A common concern in Bayesian data analysis is that an inappropriately informative prior may unduly influence posterior inferences. In the context of Bayesian clinical trial design, well chosen priors are important to ensure that posterior-based decision rules have good frequentist properties. Howeve...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2910452/ https://ncbi.nlm.nih.gov/pubmed/20668651 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12561-010-9018-x |
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