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Description
This presentation provides an overview of TreeScan signal identification methods and discusses how such methods can be used for surveillance of potential adverse infant events following maternal medication exposure during pregnancy. Methods and results from a simulation analysis to assess the performance of TreeScan under known conditions are reviewed, as well as a case study which aimed to demonstrate the use of TreeScan in real-world data, in a cohort of pregnant women linked to their live-born infants.
It was presented at the Canadian Network for Observational Drug Effect Studies (CNODES) Virtual Seminar, held on March 9, 2022.
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Presenter(s)
Judy Maro