JSM 2004 - Toronto

Abstract #300778

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Activity Number: 16
Type: Topic Contributed
Date/Time: Sunday, August 8, 2004 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #300778
Title: How to Evaluate Tests for Identifying Spatial Clusters
Author(s): Kunihiko Takahashi*+ and Toshiro Tango
Companies: National Institute of Public Health, Japan and National Institute of Public Health, Japan
Address: 2-3-6 Minami, Wako, International, 351-0197, Japan
Keywords: cluster detection ; hot-spot clusters ; hypothesis testing ; power ; spatial epidemiology
Abstract:

Many different tests have been proposed to detect spatial disease clustering without any prior information about their locations. These tests can be classified into two types: CDT(cluster detection tests) such as Kulldorff's special scan statistic, and GCT(global clustering tests) such as Tango's maximized excess events test. To compare the performance of these tests, most of the authors use the power, i.e., the probability of rejecting the null hypothesis of no clustering for whatever reason. However, the power is not always appropriate to evaluate CDT since the purpose of CDT is to both reject the null hypothesis and identify the cluster areas correctly. We shall propose a new performance measure of CDT, which includes the power as a special case. We shall illustrate the proposed measure with two tests, Kulldorff's spatial scan statistic and a flexible scan statistic that we proposed.

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