Abstract #301614

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JSM 2003 Abstract #301614
Activity Number: 154
Type: Invited
Date/Time: Monday, August 4, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Graphics
Abstract - #301614
Title: New Tools for Understanding Cancer Patterns
Author(s): Linda Williams Pickle*+ and Daniel B. Carr and B. Sue Bell and Alan MacEachren
Companies: National Cancer Institute and George Mason University and National Institute of Health and Pennsylvania State University
Address: 6828 Old Stage Rd., North Bethesda, MD, 20852-4360,
Keywords: spatial patterns ; data visualization ; cancer
Abstract:

The National Cancer Institute has a long-standing interest in exploring the patterns of cancer rates over space and time. Not only do we have incidence and mortality data spanning several decades at the county level, but we have recently expanded the NCI cancer registry program to cover 26% of the total U.S. population. Although we often apply sophisticated statistical tools to these data, we need to communicate the results to non-statisticians, e.g., health department officials, policy makers, Congressional staffers, clinicians and patients. We became an agency partner on the Digital Government grant with the hope that together we could develop new data visualization tools for understanding and communicating cancer patterns at a small area level. In this talk, we describe map smoothing, linked maps and graphs, conditioned choropleth maps and multivariate plots linked to maps. Applications of these new tools at NCI include communication through the new web-based State Cancer Profiles system, spatial data exploration through a program under development, and quality control data exploration and communication for cancer registrars.

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