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Activity Number: 537 - SPEED: Infectious Disease, Environmental Epidemiology, and Diet
Type: Contributed
Date/Time: Wednesday, August 1, 2018 : 10:30 AM to 11:15 AM
Sponsor: Section on Statistics in Epidemiology
Abstract #332936
Title: Incidence, Latency, and Survival of Cancer After World Trade Center Exposure: Implementing a Large Epidemiologic Study Involving Many Data Sources
Author(s): Charles B Hall* and Rachel Zeig-Owens and Amy R. Kahn and James Cone and Jiehui Li and Mark Farfel and Robert Brackbill and Paolo Boffetta
Companies: Albert Einstein College of Medicine and Albert Einstein College of Medicine and Bureau of Cancer Epidemiology, New York State Department of Health and World Trade Center Health Registry, New York City Department of Health and Mental Hygiene and World Trade Center Health Registry, New York City Department of Health and Mental Hygiene and World Trade Center Health Registry, New York City Department of Health and Mental Hygiene and World Trade Center Health Registry, New York City Department of Health and Mental Hygiene and Icahn School of Medicine at Mount Sinai
Keywords: Epidemiology; Data Management; Cancer Epidemiology; Cancer Incidence; ;
Abstract:

The rescue/recovery effort after the terrorist attack and building collapse on the World Trade Center (WTC) on 9/11/2001 (9/11) exposed tens of thousands of workers to toxins and carcinogens. Studies of cancer incidence in three separate cohorts have lacked power and have differed in their findings for some cancer sites. In this presentation we will describe a new study that combines all three cohorts and links to over a dozen sources of outside incidence and mortality data in order to estimate incidence, latency, and survival of site-specific cancers. In particular, we will describe the administrative and managerial difficulties experienced by the research team and make suggestions as to how such large data consolidation studies might be done more efficiently in the future.


Authors who are presenting talks have a * after their name.

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