JSM 2005 Online Program

Abstract #302999

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	106
Type:	Contributed
Date/Time:	Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Section on Statistics in Epidemiology
Abstract - #302999
Title:	Detection of Spatial Clustering Using Case-control Data in the Presence of Covariates
Author(s):	Ronald Gangnon*+
Companies:	University of Wisconsin, Madison
Address:	207 WARF Office Building, Madison, WI, 53726,
Keywords:	Clustering ; Spatial epidemiology ; Scan statistic ; Case-control data ; Multiple testing
Abstract:	We consider the problem of inferring the presence and locations of localized spatial clusters from case-control data with or without covariates. The proposed methods involve model-based multiple testing of potential clusters using two variations of the spatial scan statistic (a traditional Bonferroni-type adjustment and an alternative nested-Bonferroni adjustment) and a local average of the test statistics. Statistical significance of the test statistics is evaluated using either the permutation distribution (without covariates) or a parametric bootstrap (with covariates). Application of the proposed methods is illustrated using data from an ongoing, statewide, population-based case-control study of breast cancer in Wisconsin.

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