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Speaker: Bhramar Mukherjee Analysis of “Big” Real-World Health Care Data: Promises and Perils Wednesday, October 9, 2024 11:30 am: Lunch (Kitchen) 12:00 pm: Talk (Seminar Room 1327) |
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Speaker: Bhramar Mukherjee, Ph.D.
Senior Associate Dean of Public Health Data Science and Data Equity
Anna M.R Lauder Professor of Biostatistics
Professor of Epidemiology (Chronic Diseases) and of Statistics and Data Science
Yale University
Optional Zoom link: https://yale.zoom.us/j/94323793445
Analysis of “Big” Real-World Health Care Data: Promises and Perils
Abstract: Using administrative patient-care data such as Electronic Health Records and medical/pharmaceutical claims for population-based scientific research have become increasingly common. With vast sample sizes leading to very small standard errors, researchers need to pay more attention to potential biases in the estimates of association parameters of interest, specifically to systematic biases that do not diminish, but become more amplified with increasing sample size. Of these multiple sources of biases, in this talk, we primarily focus on understanding selection bias. We present an analytical framework for understanding selection bias and arriving at bias-reduced inference using external data from a target population. We illustrate our methods via case-studies in cancer and COVID-19. We try to highlight that sampling and study design are at the heart of analysis of big data. This is joint work with many of my former students and colleagues at the University of Michigan School of Public Health.
Bio: Professor Bhramar Mukherjee is the Anna M.R. Lauder Professor of Biostatistics and Professor of Chronic Disease Epidemiology at the Yale School of Public Health (YSPH), where she serves as the inaugural Senior Associate Dean of Public Health Data Science and Data Equity. She also holds a secondary appointment in the Department of Statistics and Data Science and is affiliated with the MacMillan Center and the Institute for the Foundations of Data Science. Prior to joining Yale in 2024, Dr. Mukherjee built a distinguished career at the University of Michigan, where she held several leadership roles, including Chair of the Department of Biostatistics and Associate Director of Quantitative Data Sciences at the Rogel Cancer Center. She was also involved in the U-M Precision Health initiative and the Michigan Institute of Data Science (MIDAS).
Dr. Mukherjee’s research spans statistical methods for analyzing electronic health records, gene-environment interactions, and data equity, with applications in cancer, cardiovascular diseases, and environmental epidemiology. She has over 390 publications and has received numerous accolades, including election to the National Academy of Medicine in 2022. During the COVID-19 pandemic, her team’s work on nowcasting models for India received global media attention. Dr. Mukherjee is a passionate advocate for global health equity and is a fellow of the American Statistical Association and the American Association for the Advancement of Science.
