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Adjustments for Unmeasured Confounders in Pharmacoepidemiologic Database Studies Using External Information
BACKGROUND: Non-experimental studies of drug effects in large automated databases can provide timely assessment of real-life drug use, but are prone to confounding by variables that are not contained in these databases and thus cannot be controlled. OBJECTIVES: To describe how information on additio...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2007
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2265540/ https://ncbi.nlm.nih.gov/pubmed/17909375 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/MLR.0b013e318070c045 |
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