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DESCRIPTION:Fatema Shafie Khorassani\, PhD\n\nAssistant Professor of Biosta
 tistics\, Boston University School of Public Health\n\nNote: Meet & Greet 
 Prof Shafie Khorassani from 3-3:30pm in Room 1140\; Prior to seminar 3:30-
 4:30pm\n\nWHEN: Wednesday\, September 3\, 2025\, from 3:30 to 4:30 p.m.\n	W
 HERE: Hybrid | 2001 ºÚÁÏÉç College Avenue\, Rm 1140\; Zoom\n	NOTE: Fatema S
 hafie Khorassani will be presenting in-person\n\nAbstract\n\nStudying fact
 ors associated with racial disparities in cancer mortality requires data o
 n many variables\, including healthcare access\, socioeconomic status\, an
 d comorbidities. Existing national cancer surveillance resources each coll
 ect parts of the necessary information. Using the Surveillance\, Epidemiol
 ogy\, and End Results (SEER) registry means excluding information like hos
 pital type\, insurance status\, and comorbidities. On the other hand\, the
  National Cancer Database (NCDB)\, which does provide that information\, e
 xcludes cause-of-death\, making it impossible to study cancer-specific mor
 tality. Integrating data from multiple sources allows us to study associat
 ions between race and cancer-specific mortality adjusted for important con
 founders. Our goal is to make inference about a model regressing an outcom
 e from one dataset on a set of important confounders from another. Both da
 tasets collect a set of common variables. We propose a method for data fus
 ion with time-to-event outcomes and present semiparametric estimating equa
 tions for data fusion. Our proposed estimating equation is doubly robust\,
  providing consistent parameter estimates if either the source process or 
 the distribution of partially observed covariates is correctly specified. 
 We apply the estimating equations to studying racial disparities in cancer
  mortality using data from SEER adjusted for confounders collected in NCDB
 .\n\nSpeaker Bio\n\nFatema Shafie Khorassani is an Assistant Professor of 
 Biostatistics at the Boston University School of Public Health. Her statis
 tical methodology research focuses on data integration methods for time-to
 -event outcomes\, causal inference for observational data\, and statistica
 l methods for the evaluation of surrogate outcomes. Her work is motivated 
 by studying health disparities using complex observational data sources. S
 he has applied this work in studying cancer\, stroke\, and tobacco use. Sh
 e earned her PhD in Biostatistics from the University of Michigan. Visit P
 rofessor Shafie Khorassani's website.\n
DTSTART:20250903T193000Z
DTEND:20250903T203000Z
SUMMARY:Data Fusion for Studying Cancer Surveillance Databases
URL:/epi-biostat-occh/channels/event/data-fusion-study
 ing-cancer-surveillance-databases-366559
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