Yi Li, MS (she/her/hers)

PhD student
Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Canada

Yi Li is a PhD student in Department of Epidemiology, Biostatistics and Occupational Health at McGill University. Her main research interests are causal inference and machine learning, with their applications in pharmacoepidemiology. She was previously trained at Departments of Biostatistics at University of North Carolina — Chapel Hill and Harvard T. H. Chan School of Public Health.

Disclosure information not submitted.

Presentation(s):

• Standardization over disease risk score versus propensity score for confounding control when using random forests for model fitting

  Sunday, August 27, 2023
  2:00 PM – 2:15 PM ADT