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DESCRIPTION:Rebecca Hubbard\, PhD\n\nCarl Kawaja and Wendy Holcombe Profess
 or of Public Health\, Professor of Biostatistics and Data Science\n	School 
 of Public Health |\n	Brown University\n\nWHEN: Wednesday\, October 2\, 2024
 \, from 3:30 to 4:30 p.m.\n	WHERE: Hybrid | 2001 9IÖÆ×÷³§Ãâ·Ñ College Avenue\, Ro
 om 1201\; Zoom\n	NOTE: Rebecca Hubbard will be presenting in-person\n\nAbst
 ract\n\nData are captured in electronic health records (EHRs) as a direct 
 result of patient interactions with the healthcare system. Consequently\, 
 EHR data for patients with more intensive healthcare utilization are captu
 red more frequently and provide more detail about the patient’s health. Th
 is connection between patterns of healthcare utilization and data quantity
  and quality\, termed informed presence bias\, violates the common statist
 ical assumption of independence between observation and outcome processes.
  The complex processes giving rise to EHR data\, which hinge on patient in
 teractions with the healthcare system\, medical provider practice patterns
 \, and health system coding conventions\, must be accounted for in analysi
 s to avoid biased inference. In this setting\, grounding statistical analy
 ses in the context of the relevant medical practice patterns and scientifi
 c questions of interest is key to remediating bias. In this presentation\,
  I will discuss the roots of informed presence bias in EHR data and illust
 rate the importance of contextual thinking in addressing this challenge us
 ing several real-world examples. I will quantify the magnitude of bias res
 ulting from alternative patterns of dependence between outcome and exposur
 e data capture and healthcare utilization intensity and demonstrate method
 ologic solutions to this problem. My overarching objective is to highlight
  the role of contextual thinking in EHR-based research and the importance 
 of bridging science and statistics in analyses of modern data sources.\n\n
 Speaker bio\n\nDr. Hubbard is Professor of Biostatistics and Data Science 
 at the Brown University School of Public Health. Her research focuses on d
 evelopment and application of statistical methodology for studies using da
 ta from electronic health records (EHR) and medical claims\, including iss
 ues of data availability and quality\, and has been applied to studies in 
 oncology and pharmacoepidemiology. She is a Fellow of the American Statist
 ical Association\, Co-Editor of the journal Biostatistics and a Statistica
 l Editor for the New England Journal of Medicine.\n
DTSTART:20241002T193000Z
DTEND:20241002T203000Z
SUMMARY:Context is king: Addressing informed presence bias in EHR-based res
 earch
URL:/epi-biostat-occh/channels/event/context-king-addr
 essing-informed-presence-bias-ehr-based-research-359769
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