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Table 1 Panel members, home institutions, and self-selected focus areas for break-out discussions. The following lists all panel members, their home institutions, and each member's top choices of topics for break-out discussions. All panel members contributed significantly to the general discussion and to initial break-out discussions. A subset of panel members expanded on initial discussions to create the reports listed in Table 2.

From: Current practices in cancer spatial data analysis: a call for guidance

Name

Institution

Primary topics of collaboration

Luc Anselin

University of Illinois, Urbana-Champaign

Spatial computing, spatial analysis, and exploratory spatial data analysis

B. Sue Bell

National Cancer Institute, (currently, Food and Drug Agency)

Communicating the results of spatial health analyses, features of spatial data, and disease surveillance

Francis Boscoe

New York State Department of Health

Features of spatial data, exploratory data analysis, and limitations of spatial analysis

Barnali Das

National Cancer Institute

Spatial modeling, exploratory spatial data analysis, and spatial cluster detection.

Carol Gotway

Centers for Disease Control and Prevention

Exploratory spatial data analysis, spatial modeling, and features of spatial data

William Henriques

Agency for Toxic Substances and Disease Registry

Features of spatial data, overview of spatial analysis, and communicating results of spatial health analyses

Theodore Holford

Yale University

Disease surveillance, spatial modeling, and exploratory spatial data analysis

Richard Hoskins

Washington State Department of Health

Communicating the results of spatial health analyses, overview, and spatial computing

Geoffrey Jacquez

Biomedware

Limitation of spatial analyses, spatial cluster detection, and overview of spatial analysis.

Martin Kulldorff

Harvard

Exploratory spatial data analysis, spatial cluster detection, and disease surveillance

Andrew Lawson

University of South Carolina

Overview of spatial analysis, and spatial cluster detection.

Linda W. Pickle

National Cancer Institute

Project coordinator, overview of spatial analysis, communication of spatial health analyses, spatial modeling, and exploratory spatial data analysis

Peggy Reynolds

Environmental Health Investigations Branch, California State Department of Health

Spatial modeling, features of spatial data, and disease surveillance

Gerard Rushton

University of Iowa

Exploratory spatial data analysis, features of spatial data, and spatial modeling

Lance Waller

Emory University

Chair of panel, spatial modeling, spatial cluster detection, and overview of panel discussion

Mary Ward

Division of Cancer Epidemiology and Genetics, National Cancer Institute

Features of spatial data, disease surveillance, and overview of spatial analysis

Dan Wartenberg

University of Medicine and Dentistry of New Jersey

Spatial cluster detection, exploratory spatial data analysis, and communicating the results of spatial health analyses

Dale Zimmerman

University of Iowa

Spatial modeling, spatial cluster detection, and exploratory spatial data analysis