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Hierarchical Models for Multiple, Rare Outcomes Using Massive Observational Healthcare Databases
Clinical trials often lack power to identify rare adverse drug events (ADEs) and therefore cannot address the threat rare ADEs pose, motivating the need for new ADE detection techniques. Emerging national patient claims and electronic health record databases have inspired post-approval early detecti...
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| Publicado no: | Stat Anal Data Min |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5423675/ https://ncbi.nlm.nih.gov/pubmed/28503249 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sam.11324 |
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