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90 * ! Mon, 8/8/2022, 8:30 AM - 10:20 AM CC-143A
Dealing with Error-Prone Electronic Health Record Data via Validation Sampling — Invited Papers
Biometrics Section, Section on Statistics in Epidemiology, American Medical Informatics Association
Organizer(s): Bryan Shepherd, Vanderbilt University Medical Center
Chair(s): Bryan Shepherd, Vanderbilt University Medical Center
8:35 AM Advantages of Multi-Wave, Multi-Frame Sampling Designs for Analysis of Error-Prone Data from Electronic Health Records
Pamela Shaw, Kaiser Permanente Washington Health Research Institute; Thomas Lumley, University of Auckland; Bryan Shepherd, Vanderbilt University Medical Center
9:00 AM Implementing an Optimal Multi-Wave Validation Design in a Multi-National HIV Research Cohort
Gustavo Amorim, Vanderbilt University Medical Center; Bryan Shepherd, Vanderbilt University Medical Center
9:25 AM SAT: A Surrogate-Assisted Two-Wave Case Boosting Sampling Method, with Application to EHR-Based Association Studies
Yong Chen, University of Pennsylvania; Rebecca Hubbard, University of Pennsylvania; Xiaokang Liu, University of Pennsylvania; Jessica Chubak, Kaiser Permanente Washington Health Research Institute
9:50 AM Double-Sampling in EHR-Based Studies Subject to Data That Is Missing-Not-At-Random
Sebastien Haneuse, Harvard T.H. Chan School of Public Health; Alex Levis, Harvard T.H. Chan School of Public Health; Rajarshi Mukherjee, Harvard T.H. Chan School of Public Health; Rui Wang, Harvard T.H. Chan School of Public Health
10:15 AM Floor Discussion