JSM2024
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Topic-Contributed Paper Session

Advances in Solutions to Practical Challenges on Analyzing Modern EHR Cohorts

Mon, Aug 5, 10:30 AM - 12:20 PM
Yu-Ru SuOrganizerMaricela CruzChair
Biometrics Section

5 Presentations

Addressing incomplete data in electronic health records for advancing equitable medicine
10:35 AM - 10:55 AM
Qi Long
Clinical trial emulation - application to breast cancer screening
10:55 AM - 11:15 AM
Hong Li (University of California, Davis)
Co-authors: Brian Sprague (university of Vermont), karla kerlikowske (ucsf), Diana Miglioretti (University of California At Davis)
Developing well-calibrated risk prediction models with biased EHR data: leveraging insights from the population
11:15 AM - 11:35 AM
Le Wang
Co-authors: Jinbo Chen (University of Pennsylvania)
Estimating quantile treatment effects in EHR-based settings with missing outcome data by double sampling
11:35 AM - 11:55 AM
Sebastien Haneuse (Harvard T.H. Chan School of Public Health)
Co-authors: Shuo Sun (Harvard T.H. Chan School of Public Health), Alexander Levis (Carnegie Mellon University), Rajarshi Mukherjee
Risk Prediction Modeling for Cancer Surveillance Performance using EHR in the Presence of Heterogeneous Surveillance Intervals
11:55 AM - 12:15 PM
Yu-Ru Su (Kaiser Permanente Washington Health Research Institute)
Co-authors: Rebecca Hubbard (Brown University)
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