Random control selection for conducting high‐throughput adverse drug events screening using large‐scale longitudinal health data
Abstract 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 dy...
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| Main Authors: | , , , , , |
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| Format: | Book |
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Wiley,
2021-09-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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Internet
Connect to this object online.3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |