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DTSTAMP:20250703T151519Z
DESCRIPTION:\n	Abstract:\n\n	Doubly robust estimation under the marginal stru
 ctural Cox model has been a challenge until recently due to the non-collap
 sibility of the Cox regression model. This is because the estimand of caus
 al hazard ratio assumes that the marginal structural Cox model holds\, whi
 le the doubly robust estimating function requires the specification of an 
 additional model for the conditional distribution of the time-to-event giv
 en treatment and covariates\, both models unlikely to hold simultaneously.
  It became possible recently to resolve this issue with the understanding 
 of rate double robustness and machine learning or nonparametric approaches
 \, although technical details are still to be spelt out to ensure root-n i
 nference for the estimand. We describe our work considering both observati
 onal studies setting and in the presence of covariate-induced informative 
 censoring. An added benefit of our approach is the interpretation of the e
 stimand when the assumed marginal structural Cox model does not hold\, as 
 a time-averaged treatment effect. This allows meaningful estimation of tre
 atment effects for general two-group comparison without the Cox model\, or
  under alternative models such as the semiparametric proportional odds or 
 transformation models for the potential time-to-event outcomes.\n\n	Speaker
 \n\n	Dr. Xu received her Ph.D. from the University of California\, San Dieg
 o. She served as an assistant prof of biostatistics at the Harvard school 
 of public health and the Dana-Farber cancer institute. She returned to UC 
 San Diego in 2004 and is now Lead of the Teaching Division of Biostatistic
 s and Bioinformatics\, and Director of Research Program of Quantitative Me
 thods in Public Health\, at the Herbert Wertheim School of Public Health. 
 She is a recipient of the David Byar young investigator award\, and a fell
 ow of the ASA.\n\n	Website: https://mathweb.ucsd.edu/~rxu/\n\n\n \n\n \n
DTSTART:20230929T193000Z
DTEND:20230929T203000Z
LOCATION:Room 1104\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Ronghui (Lily) Xu (University of California\, San Diego)
URL:/mathstat/channels/event/ronghui-lily-xu-universit
 y-california-san-diego-351357
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