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Quantitative Bias Analysis in Regulatory Settings
Nonrandomized studies are essential in the postmarket activities of the US Food and Drug Administration, which, however, must often act on the basis of imperfect data. Systematic errors can lead to inaccurate inferences, so it is critical to develop analytic methods that quantify uncertainty and bia...
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| Publicado no: | Am J Public Health |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Public Health Association
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4984770/ https://ncbi.nlm.nih.gov/pubmed/27196652 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2105/AJPH.2016.303199 |
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