New adaptive lasso approaches for variable selection in automated pharmacovigilance signal detection
Abstract Background Adverse effects of drugs are often identified after market introduction. Post-marketing pharmacovigilance aims to detect them as early as possible and relies on spontaneous reporting systems collecting suspicious cases. Signal detection tools have been developed to mine these lar...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BMC
2021-12-01
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| Schriftenreihe: | BMC Medical Research Methodology |
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| Online-Zugang: | https://doi.org/10.1186/s12874-021-01450-3 |
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