This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 657
Type: Topic Contributed
Date/Time: Thursday, August 5, 2010 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics and the Environment
Abstract - #306599
Title: Residential Mobility, Cancer and Local Indicators of Geocoding Accuracy
Author(s): Geoffrey Mark Jacquez*+ and Robert Rommel
Companies: TerraSeer and TerraSeer
Address: 3526 W Liberty, Suite 100, Ann Arbor, MI, 48103,
Keywords: Postional error ; space-time modeling ; cancer ; residential mobility

Although sources of error in geographic locations (e.g. positional error) used for modeling spatial disease patterns are widely acknowledged, research on how such error impacts results has been limited. This presentation explores techniques for quantifying the perturbability of spatial weights to different specifications of postional error. New measures for assessing impacts of positional error on spatial weights called leverage and perturbability are used to construct the LIGA (Local Indicators of Geocoding Accuracy) scatterplot. We evaluate the approach in simulation studies, and then demonstrate it using a case control study of bladder cancer in south-eastern Michigan. Locations with high perturbability and high leverage will benefit the most from increased geocoding accuracy, and are rapidly identified using the LIGA scatterplot.

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