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...

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Detalles Bibliográficos
Autores principales: Chiang, Chien‐Wei, Zhang, Penyue, Donneyong, Macarius, Chen, You, Su, Yu, Li, Lang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research
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

Internet

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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