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UID:819@fds.yale.edu
DTSTART;TZID=America/New_York:20241202T153000
DTEND;TZID=America/New_York:20241202T170000
DTSTAMP:20250916T142144Z
URL:https://fds.yale.edu/events/sds-seminar-jelena-bradic-ucsd-dynamic-cau
 sal-inference-under-model-misspecification/
SUMMARY:S&amp\;DS Seminar: Jelena Bradic (UCSD)\, "Dynamic causal inference
  under model misspecification"
DESCRIPTION:\nAbstract: Estimating dynamic treatment effects is essential a
 cross various disciplines\, offering nuanced insights into the time-depend
 ent causal impact of interventions. However\, this estimation presents cha
 llenges due to the “curse of dimensionality” and time-varying confound
 ing\, which can lead to biased estimates. Additionally\, correctly specify
 ing the growing number of treatment assignments and outcome models with mu
 ltiple exposures seems overly complex. Given these challenges\, the concep
 t of double robustness\, where model misspecification is permitted\, is ex
 tremely valuable\, yet unachieved in practical applications. This paper in
 troduces a new approach by proposing novel\, robust estimators for both tr
 eatment assignments and outcome models. We present a “sequential model d
 ouble robust” solution\, demonstrating that double robustness over multi
 ple time points can be achieved when each time exposure is doubly robust. 
 This approach improves the robustness and reliability of dynamic treatment
  effects estimation\, addressing a significant gap in this field.\n\n\n\nS
 peaker bio: Jelena Bradic received her Ph.D. in Operations Research and Fi
 nancial Engineering from Princeton in Spring 2011 with a specialization in
  Statistics and Applied Probability under the direction of Jianqing Fan. H
 er research is in high dimensional statistics\, stochastic optimization\, 
 asymptotic theory\, robust statistics\, functional genomics and biostatist
 ics. She has received two teaching awards (for teaching assistants) at Pri
 nceton.\n\n\n\nWebsite: https://www.math.ucsd.edu/people/profiles/jelena-b
 radic\n
CATEGORIES:FDS Events,Statistics & Data Science Seminar
LOCATION:Yale Institute for Foundations of Data Science\, Kline Tower 13th 
 Floor\, Room 1327\, New Haven\, CT\, 06511\, United States
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 E=Yale Institute for Foundations of Data Science:geo:0,0
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