Characterizing Medication Use Patterns Among Pregnant and Non-Pregnant Patients with COVID-19 in the Sentinel System Read more about Characterizing Medication Use Patterns Among Pregnant and Non-Pregnant Patients with COVID-19 in the Sentinel System
Variation in Mother-Infant Linkage Rates by Jurisdiction in U.S. Medicaid Data Read more about Variation in Mother-Infant Linkage Rates by Jurisdiction in U.S. Medicaid Data
Triple Challenges – Small Sample Sizes in Both Exposure and Control Groups When Scanning Rare Maternal Outcomes in Signal Identification: A Simulation Study Read more about Triple Challenges – Small Sample Sizes in Both Exposure and Control Groups When Scanning Rare Maternal Outcomes in Signal Identification: A Simulation Study
Principled Approaches to Handle Partially Observed Confounder Data from Electronic Health Records: A Plasmode Simulation Study Read more about Principled Approaches to Handle Partially Observed Confounder Data from Electronic Health Records: A Plasmode Simulation Study
Investigating Potential Differences in the Safety Profiles of Biosimilars Relative to Originator Products Using a Tree-Based Scan Statistic Read more about Investigating Potential Differences in the Safety Profiles of Biosimilars Relative to Originator Products Using a Tree-Based Scan Statistic
Hospitalized Arterial and Venous Thrombotic Events in Patients Diagnosed in the Ambulatory Setting with COVID-19 Compared to Influenza Read more about Hospitalized Arterial and Venous Thrombotic Events in Patients Diagnosed in the Ambulatory Setting with COVID-19 Compared to Influenza
Introducing CoLab: The Evolution of US-Canada International Collaboration on Drug Safety and Effectiveness Read more about Introducing CoLab: The Evolution of US-Canada International Collaboration on Drug Safety and Effectiveness
2023 Public Workshop: Optimizing the Use of Postapproval Pregnancy Safety Studies Read more about 2023 Public Workshop: Optimizing the Use of Postapproval Pregnancy Safety Studies
Scalable Incident Detection via Natural Language Processing and Probabilistic Language Models Read more about Scalable Incident Detection via Natural Language Processing and Probabilistic Language Models