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UID:635@fds.yale.edu
DTSTART;TZID=America/New_York:20241009T113000
DTEND;TZID=America/New_York:20241009T133000
DTSTAMP:20250916T142140Z
URL:https://fds.yale.edu/events/fds-colloquium-bhramar-mukherjee-yale/
SUMMARY:FDS Colloquium: Bhramar Mukherjee (Yale)\, "Analysis of "Big" Real-
 World Health Care Data: Promises and Perils"
DESCRIPTION:Speaker: Bhramar Mukherjee\, Ph.D.Senior Associate Dean of Publ
 ic Health Data Science and Data EquityAnna M.R Lauder Professor of Biostat
 isticsProfessor of Epidemiology (Chronic Diseases) and of Statistics and D
 ata ScienceYale University\n\n\n\nOptional Zoom link: https://yale.zoom.us
 /j/94323793445\n\n\n\nAnalysis of "Big" Real-World Health Care Data: Promi
 ses and Perils\n\n\n\nAbstract: Using administrative patient-care data suc
 h as Electronic Health Records and medical/pharmaceutical claims for popul
 ation-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 par
 ameters of interest\, specifically to systematic biases that do not dimini
 sh\, but become more amplified with increasing sample size. Of these multi
 ple sources of biases\, in this talk\, we primarily focus on understanding
  selection bias. We present an analytical framework for understanding sele
 ction 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 t
 he heart of analysis of big data. This is joint work with many of my forme
 r students and colleagues at the University of Michigan School of Public H
 ealth.\n\n\n\nBio: Professor Bhramar Mukherjee is the Anna M.R. Lauder Pro
 fessor of Biostatistics and Professor of Chronic Disease Epidemiology at t
 he 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 Dat
 a Science and is affiliated with the MacMillan Center and the Institute fo
 r the Foundations of Data Science. Prior to joining Yale in 2024\, Dr. Muk
 herjee built a distinguished career at the University of Michigan\, where 
 she held several leadership roles\, including Chair of the Department of B
 iostatistics and Associate Director of Quantitative Data Sciences at the R
 ogel Cancer Center. She was also involved in the U-M Precision Health init
 iative and the Michigan Institute of Data Science (MIDAS).\n\n\n\nDr. Mukh
 erjee’s research spans statistical methods for analyzing electronic heal
 th records\, gene-environment interactions\, and data equity\, with applic
 ations in cancer\, cardiovascular diseases\, and environmental epidemiolog
 y. She has over 390 publications and has received numerous accolades\, inc
 luding election to the National Academy of Medicine in 2022. During the CO
 VID-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.\n
CATEGORIES:FDS Events,Colloquium
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