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Multiplicity-calibrated Bayesian hypothesis tests

When testing multiple hypotheses simultaneously, there is a need to adjust the levels of the individual tests to effect control of the family-wise error rate (FWER). Standard frequentist adjustments control the error rate but are typically both conservative and oblivious to prior information. We pro...

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Détails bibliographiques
Auteurs principaux: Guo, Mengye, Heitjan, Daniel F.
Format: Artigo
Langue:Inglês
Publié: Oxford University Press 2010
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC2912702/
https://ncbi.nlm.nih.gov/pubmed/20212321
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxq012
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