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Random control selection for conducting high‐throughput adverse drug events screening using large‐scale longitudinal health data
Case‐control design based high‐throughput pharmacoinformatics study using large‐scale longitudinal health data is able to detect new adverse drug event (ADEs) signals. Existing control selection approaches for case‐control design included the dynamic/super control selection approach. The dynamic/sup...
Autores principales: | Chiang, Chien‐Wei, Zhang, Penyue, Donneyong, Macarius, Chen, You, Su, Yu, Li, Lang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452297/ https://www.ncbi.nlm.nih.gov/pubmed/34313404 http://dx.doi.org/10.1002/psp4.12673 |
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