JSM 2005 - Toronto

Abstract #304174

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 200
Type: Contributed
Date/Time: Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #304174
Title: Modeling Reporting Delays and Corrections in Cancer Registry Data
Author(s): Limin Clegg*+ and Eric Feuer and Douglas Midthune and Michael Fay and Benjamin Hankey and Brenda Edwards
Companies: National Cancer Institute and National Cancer Institute and National Cancer Institute and National Institutes of Health and National Cancer Institute and National Cancer Institute
Address: 6116 Executive Blvd, MSC 8316, Bethesda, MD, 20892-8316,
Keywords:
Abstract:

Cancer incidence rate is an important measure on the progress of cancer prevention and control. The Surveillance, Epidemiology, and End Results (SEER) program of the National Cancer Institute (NCI) is a consortium of population-based cancer registries and an authoritative source of cancer incidence statistics in the US. The SEER program has allowed the standard reporting delays of up to 19 months between the time cases are diagnosed and the time they are first reported to the NCI for public use. However, in each subsequent release of the SEER data, all prior diagnosis years are updated as either new cases are found or errors are detected in existing data. We have modeled both reporting delay and correction to account for anticipated future corrections to the data in predicting eventual cancer counts for a diagnosis year from the preliminary counts. These adjusted counts and the associated delay model are valuable in more precisely determining current cancer incidence rates and trends in addition to monitoring the timeliness of data collection.

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Revised March 2005