JSM 2004 - Toronto

Abstract #300455

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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 - #300455
Title: A Simulation Approach for Detecting Clusters: An Application of Taiwan Cancer Mortality
Author(s): Ching-Syang J. Yue*+ and Foong Ling Chin
Companies: National Chengchi University and National Chengchi University
Address: No. 64, Section 2, Chi-Nan Rd., Taipei, 116, Taiwan, ROC
Keywords: cluster ; rare disease ; case-event data ; aggregate data ; cancer mortality
Abstract:

In recent years, many statistical methods have been proposed for detecting excesses of rare diseases, i.e., clusters, in space or in space-time. Most of these methods deal with case-event or individual-level data and are designed to detect clusters with shape close to circles. In this study, adapting Choynowski's (1957) idea, a simulation-based approach is proposed to detect noncircular clusters with aggregate or group-level data. The proposed cluster-detection method will be used to compare with Nagarwalla's Spatial Scan Statistic, a frequently used method. Computer simulation is used to illustrate the validity, with respect to Type I and Type II errors, of the proposed approach. In addition, the cancer mortality data in Taiwan area is also used as a demonstration of the proposed test.

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