Methods in Pharmacoepidemiology / Confounding/Bias

(B-203) Aggregating and harmonizing registry databases for comparative analyses – lessons learnt

(B-199) Application of methodological strategies to address unmeasured confounding in real-world vaccine safety and effectiveness study: a systematic review

(B-200) Assessing the Potential Differential Impact of the COVID-19 Pandemic on Cardiovascular Incidence Rates in United States Claims Data

(B-209) Defining Cancer Outcomes Using Primary Care versus Hospitalization Data: A Case Study of GLP-1 RAs and Endometrial Cancer Incidence

(B-204) Evaluation of methods for quantitative bias analysis on the impact of unmeasured confounding during planning of a single arm trial with an external comparator arm

(B-198) Initial-treatment Estimates as Negative Controls for Baseline Confounding Under Low Treatment Persistence: a Real-World Application to Opioids and Diverticulitis

(B-208) Leveraging multiple-country data sources for a comparative drug safety study: complexities and rewards in pharmacoepidemiology

(B-202) Methodological Approaches to Minimizing Immeasurable Time Bias using Marginal Structural Models

(B-206) Methodological Considerations about Policy Impact on Studies of Pregnancy Registries and Maternal/Infant Outcomes

(B-205) Narrative and Analytical Methods to Assess Bias and Pool Results of Studies Associated with Fall-Related Injuries

(B-201) Overlap Weighting for Residual Bias Reduction in Target Trial Emulation: an Empirical Example from Re-analysis of Our Published Study

(B-207) Random Patient Selection in Retrospective Chart Review Studies: Cases, Considerations and Insights